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Paper Citation Record · LEDGER

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action

As of 17 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 0 inbound Pith citation observations for arXiv:2502.07794.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.07794 v1

Coverage vector

measured 78 of 78 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:58:44.612912Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

78 of 78 outbound references displayed

  • verified exact2
  • verified fuzzy67
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2681f106-8331-4f9c-85a9-d6c8f0d23f00 · outbound

This paper cites & Hernandez-Boussard, T.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action & Hernandez-Boussard, T

Reference 1

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Source-reported events for the cited work

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Observation e62ce944-ddf6-42cf-8b41-7caa2e5dcf49 · outbound

This paper cites Real-World and Regulatory Perspectives of Artificial Intelligence in Cardiovascular Imaging.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Real-World and Regulatory Perspectives of Artificial Intelligence in Cardiovascular Imaging

Reference 2

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Observation 8283775b-5692-4589-91af-976282cc1808 · outbound

This paper cites Total Product Lifecycle Considerations for Generative AI- Enabled Devices.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Total Product Lifecycle Considerations for Generative AI- Enabled Devices

Reference 3

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Source-reported events for the cited work

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Observation c640ef01-d56d-419f-b496-f6f1e65a32a2 · outbound

This paper cites FDA Perspective on the Regulation of Artificial Intelligence in Health Care and Biomedicine.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action FDA Perspective on the Regulation of Artificial Intelligence in Health Care and Biomedicine

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 49e5f29e-af0d-4371-81f9-cee779c6265f · outbound

This paper cites Ethical and regulatory challenges of large language models in medicine.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Ethical and regulatory challenges of large language models in medicine

Reference 5

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Source-reported events for the cited work

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Observation 24f6f753-2fd5-4198-af8e-e8de2d29e599 · outbound

This paper cites & Vayena, E.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action & Vayena, E

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1f18abc8-21e8-466c-864a-8dfc6becee8a · outbound

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Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Unresolved cited work

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f4ca7bab-f5ff-46a0-9889-c7686228ec49 · outbound

This paper cites an unresolved cited work.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Unresolved cited work

Reference 8

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Source-reported events for the cited work

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Observation d926297e-3d0b-4297-a5a7-15b6cc731a0d · outbound

This paper cites Medical large language models are vulnerable to data-poisoning attacks.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Medical large language models are vulnerable to data-poisoning attacks

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 44ef79d3-a7b0-4237-9692-0c11bd4ba2dc · outbound

This paper cites Policing the boundary between responsible and irresponsible placing on the market of LLM health applications, Mayo Clinic Proceedings Digital Health, 2025 (in press).

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Policing the boundary between responsible and irresponsible placing on the market of LLM health applications, Mayo Clinic Proceedings Digital Health, 2025 (in press)

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b803aa5c-fdbc-403b-9342-77760c6ec2ec · outbound

This paper cites an unresolved cited work.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Unresolved cited work

Reference 11

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Source-reported events for the cited work

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Observation 8ab4bf5e-5668-4755-9c13-aeece2da2e74 · outbound

This paper cites Algorithmovigilance-Advancing Methods to Analyze and Monitor Artificial Intelligence- Driven Health Care for Effectiveness and Equity.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Algorithmovigilance-Advancing Methods to Analyze and Monitor Artificial Intelligence- Driven Health Care for Effectiveness and Equity

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e68bde10-5755-4ce7-9c3c-fc77ea3a2d42 · outbound

This paper cites & Philippe, R.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action & Philippe, R

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d7175139-e772-46fb-ae62-f1afb1c7cf55 · outbound

This paper cites Off-label Medication Use: A Double-edged Sword.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Off-label Medication Use: A Double-edged Sword

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3c2b9993-4647-479e-95ab-1236cc745b42 · outbound

This paper cites challenging.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action challenging

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7bb8002e-3750-406c-a310-f349b9a6246e · outbound

This paper cites & AC, van Grootheest.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action & AC, van Grootheest

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation df5822fb-ed99-4ca0-8804-9e31eeb989fa · outbound

This paper cites Pharmacovigilance: Importance, concepts, and processes.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Pharmacovigilance: Importance, concepts, and processes

Reference 17

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Source-reported events for the cited work

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Observation 39137cf3-78d1-43e1-9b24-c74f60bc75f5 · outbound

This paper cites & Kerstin N, V.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action & Kerstin N, V

Reference 18

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d0db5b3a-2e28-4d83-9103-5b60c0eb6b50 · outbound

This paper cites & Sandra, R.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action & Sandra, R

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6ddcefd7-c8d4-44ad-8662-112e8708fcf2 · outbound

This paper cites & Kerstin N, V.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action & Kerstin N, V

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e6c7d6d1-b989-4e92-b378-a47b6e0e80f3 · outbound

This paper cites & Harlan M, K.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action & Harlan M, K

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0384c166-d961-4834-aa55-d24f0b6a8f77 · outbound

This paper cites Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 770e9c53-1200-4d90-a765-3c55d4412b16 · outbound

This paper cites Development and Testing of a Novel Large Language Model-Based Clinical Decision Support Systems for Medication Safety in 12 Clinical Specialties.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Development and Testing of a Novel Large Language Model-Based Clinical Decision Support Systems for Medication Safety in 12 Clinical Specialties

Reference 23

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Observation 83af521b-a5cd-494e-8649-ed037b316a33 · outbound

This paper cites Prompt engineering in consistency and reliability with the evidence-based guideline for LLMs.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Prompt engineering in consistency and reliability with the evidence-based guideline for LLMs

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3fad1952-ab07-4dd0-9781-940069767aa9 · outbound

This paper cites Prompt Engineering as an Important Emerging Skill for Medical Professionals: Tutorial.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Prompt Engineering as an Important Emerging Skill for Medical Professionals: Tutorial

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7a98a3f6-3276-4e09-93ea-82a60872bac0 · outbound

This paper cites Closing the gap between open source and commercial large language models for medical evidence summarization.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Closing the gap between open source and commercial large language models for medical evidence summarization

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4179334d-5163-4636-bd3e-7582e266dc94 · outbound

This paper cites Benchmarking Open-Source Large Language Models, GPT-4 and Claude 2 on Multiple-Choice Questions in Nephrology.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Benchmarking Open-Source Large Language Models, GPT-4 and Claude 2 on Multiple-Choice Questions in Nephrology

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 508bb828-d3e3-4374-8f6c-474795b9653f · outbound

This paper cites DeepLearning.AI.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action DeepLearning.AI

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 95a7c435-9bca-40d5-9f65-a978e8374ee5 · outbound

This paper cites A future role for health applications of large language models depends on regulators enforcing safety standards.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action A future role for health applications of large language models depends on regulators enforcing safety standards

Reference 29

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raw_fallback, observed 2026-08-10T13:58:45.329548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4448a8e5-6587-4d1c-8f3e-a6849c99fb31 · outbound

This paper cites Medical Ethics of Large Language Models in Medicine.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Medical Ethics of Large Language Models in Medicine

Reference 30

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 30b00f95-9c4a-42b6-b960-8c460f382ea6 · outbound

This paper cites & Daneshjou, R.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action & Daneshjou, R

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:43.568441Z digest=sha256:a60594cd2e9ad0431a05046a598df66422dbb5b679e3b5a80d421755c1843bd3

Observation 12c8d43d-4749-4925-bbc6-02c548383cfd · outbound

This paper cites Large Language Models Are Poor Medical Coders — Benchmarking of Medical Code Querying.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Large Language Models Are Poor Medical Coders — Benchmarking of Medical Code Querying

Reference 32

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raw_fallback, observed 2026-08-10T13:58:45.297862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 50f61b62-10cf-409f-b30f-ff89533feb5d · outbound

This paper cites Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-10T13:58:45.287630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:43.576319Z digest=sha256:264ee38e037f1025e735b0d94dd4b20cbe766002f6f49a47ddf085a3a1c04994

Observation 665060bc-1ee9-4f98-913d-ae63384ea865 · outbound

This paper cites & Raymond H, M.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action & Raymond H, M

Reference 34

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raw_fallback, observed 2026-08-10T13:58:45.277501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:43.579755Z digest=sha256:76d8603e089b5e5668f94c1576295bb6cf8f2171659e53c3580cd6b6585204d6

Observation 1bb2d4de-8435-47ec-9cf4-c2d74601ddcc · outbound

This paper cites Tackling bias in AI health datasets through the STANDING Together initiative.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Tackling bias in AI health datasets through the STANDING Together initiative

Reference 35

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raw_fallback, observed 2026-08-10T13:58:45.266563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:43.583118Z digest=sha256:7a8f7af51a5c2b6f877c5d9f2338cdace1e8513f54fcfa6248d1955a4044b9ad

Observation 306701b6-cac5-4dbc-b4ab-bc3c6c63de91 · outbound

This paper cites & Joseph C, K.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action & Joseph C, K

Reference 36

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raw_fallback, observed 2026-08-10T13:58:45.256963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:43.586496Z digest=sha256:776554ca3e9fc7d5d0ad3dc85f084a0793243c8b89fd2594cb3c135bb8e71959

Observation d39216a0-5388-4f54-b184-2dc332d169d8 · outbound

This paper cites Digital Health to Patient-Facing Artificial Intelligence: Ethical Implications and Threats to Dignity for Patients With Cancer.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Digital Health to Patient-Facing Artificial Intelligence: Ethical Implications and Threats to Dignity for Patients With Cancer

Reference 37

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raw_fallback, observed 2026-08-10T13:58:45.247168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:43.589737Z digest=sha256:36c41c05ebb6a711c4e28950495681b4f72816b5fa37945e61c2870e79a7a829

Observation cd4c2bea-bdbd-42fe-8442-1d7ce780a285 · outbound

This paper cites an unresolved cited work.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:58:45.236910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:43.593560Z digest=sha256:38685515c4798a5dd08f17e41a1ba8bc90d9f28f68082a04db1803f448420e20

Observation c4fbe625-1b76-48f8-b904-4359d2724fc0 · outbound

This paper cites & Farid, S.S.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action & Farid, S.S

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:45.225692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:43.597216Z digest=sha256:440055c25d7021c9d879be48bbdd788d6159047a2a73b17e5709661178426e93

Observation eeab790d-cb52-4463-8b69-b468ab10fe21 · outbound

This paper cites From adaptive licensing to adaptive pathways: delivering a flexible life-span approach to bring new drugs to patients.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action From adaptive licensing to adaptive pathways: delivering a flexible life-span approach to bring new drugs to patients

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:45.214128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:43.625203Z digest=sha256:b1d7197d0b624777d78214ae601f82116c82991b9d5697552b481983f41ef69d

Observation 911bb772-1d5b-4074-8826-9f0001445413 · outbound

This paper cites & Pall, J.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action & Pall, J

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:45.202511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:43.723586Z digest=sha256:a2772a15891c67bb484dc70809257135016503ee51adf840d501e4160c6aa359

Observation 30f790df-0146-400b-aaaa-62078527c851 · outbound

This paper cites Privacy Enhancing Technology Sandboxes - Infocomm Media Development Authority.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Privacy Enhancing Technology Sandboxes - Infocomm Media Development Authority

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:45.191092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:43.823783Z digest=sha256:a9e6451e9f475b42804a2659cffce33a935da23854dd37f1429eee8ae9bb0f1b

Observation fed4de62-18f0-4e7d-be4e-71f8e9882e9c · outbound

This paper cites Regulatory sandboxes in artificial intelligence.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Regulatory sandboxes in artificial intelligence

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:45.179904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:43.933339Z digest=sha256:3d4e3d0f6ca3818a5ee0112d98aac95a53ea7d19b6cf128edab8fab93b0ddf5f

Observation c699f4c9-9fbf-4f68-90ee-0c93014fd5dd · outbound

This paper cites LLM-based agentic systems in medicine and healthcare.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action LLM-based agentic systems in medicine and healthcare

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:45.167261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:43.937311Z digest=sha256:a17e9f4f47f3ef964cf22cd28750eee13611ab83f375f0465834785d8bb1ccb5

Observation ef74afbc-6553-4958-8ce3-9bba7393210f · outbound

This paper cites Evaluating large language models as agents in the clinic.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Evaluating large language models as agents in the clinic

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:45.154591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:43.941001Z digest=sha256:22e002d8361ab5a63022a0fe530d0e0c047771e026438028255d77492fb7039b

Observation 87cf2b43-5ecc-4d71-8c86-ef521d10bc93 · outbound

This paper cites (@OpenAI, 2024).

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action (@OpenAI, 2024)

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:45.143434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:43.944505Z digest=sha256:c1ddff901dd0f5ef5a90af2ef092977e495ebf16f0f2124e65046cfee19a285f

Observation 5047dce8-0578-413b-b7d9-746730b8c0e2 · outbound

This paper cites Learning to Reason with LLMs.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Learning to Reason with LLMs

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:45.131135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:43.948683Z digest=sha256:29935b49fdf466a63e25daf6fbf135232a159f3e2adc43ecfbe2b952a2e52602

Observation b6cad050-28aa-4549-84a7-c73d75e56de7 · outbound

This paper cites Regulating the Future of Health: CoRE’s Tenth Anniversary Perspective.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Regulating the Future of Health: CoRE’s Tenth Anniversary Perspective

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:45.119501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:43.951811Z digest=sha256:732672e3a794d846858a201a41cdbd0e9493d198a436b634334805c0c2f64f39

Observation c510d802-a03b-4ff8-8ac5-40f1d29236cb · outbound

This paper cites CrowdStrike Technology Outage Causing Global Disruption, Including Impacts on Hospitals | AHA.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action CrowdStrike Technology Outage Causing Global Disruption, Including Impacts on Hospitals | AHA

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:45.106477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:43.955674Z digest=sha256:f7e381b136c784f0fc8b96313229b1a0fdf0a25019d5b006939ea4a746e836c0

Observation 8945b7ef-913d-42d1-9766-c62a6f44b422 · outbound

This paper cites A Review of Embedded Machine Learning Based on Hardware, Application, and Sensing Scheme.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action A Review of Embedded Machine Learning Based on Hardware, Application, and Sensing Scheme

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:45.093979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:43.959549Z digest=sha256:801e43684cf9a7bca9cbb5f33681c266c02dcb566a41f302c97c2b5ed0b25612

Observation f72304d7-5f48-4bd3-b482-613929cdf93e · outbound

This paper cites & Gilbert, S.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action & Gilbert, S

Reference 51

Resolution
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raw_fallback, observed 2026-08-10T13:58:45.080961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:43.963595Z digest=sha256:d881c1aa50dc1c8fb0566bafc5b86992c2e6db80238bd543728643d07bd679fb

Observation 1dec0006-6357-4e0e-bb64-0c3b709bf6a7 · outbound

This paper cites & Sang-Soo, L.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action & Sang-Soo, L

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:45.068232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:43.969549Z digest=sha256:e88f9cfc3895fb23d34c0b21977749b0ae8217828c3048946e196f6c840a946e

Observation 6425173b-e9f3-45f5-8766-96b3d03fd1fb · outbound

This paper cites Use of Artificial Intelligence in Drug Development.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Use of Artificial Intelligence in Drug Development

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:45.055371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:43.973905Z digest=sha256:133c7e88c16e78f65dc11631c999f73cc3b6f25d4732835946ea747632d797d9

Observation 5c09cb8e-e78c-45ba-85d1-386a985390ce · outbound

This paper cites & Antonio, L.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action & Antonio, L

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:45.039167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:43.977482Z digest=sha256:8dfb813d55adaa9f00b61ba8b8044dace9a915ddc37208fafe57d303d9cae72d

Observation d809c006-7c08-49f9-b6d9-7cd311091195 · outbound

This paper cites ADMET-AI: a machine learning ADMET platform for evaluation of large-scale chemical libraries.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action ADMET-AI: a machine learning ADMET platform for evaluation of large-scale chemical libraries

Reference 55

Resolution
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raw_fallback, observed 2026-08-10T13:58:45.025481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:43.981675Z digest=sha256:07f04b3f2b91f0dcb7c359f3e5aed80a74081eadb393d68617fa8aefe1362f2f

Observation daf8636b-9c26-47f0-a405-ba14d52989ca · outbound

This paper cites Generative AI and Large Language Models in Reducing Medication Related Harm and Adverse Drug Events – A Scoping Review.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Generative AI and Large Language Models in Reducing Medication Related Harm and Adverse Drug Events – A Scoping Review

Reference 56

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verified exact
doi, observed 2026-08-10T13:58:44.657142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:43.985339Z digest=sha256:f9e9bdfb13dcf2a535bd5812277c3d203c1f9ff1db271f3d5b3b782ab92968ce

Observation 1288f5f8-44c0-4d9b-8ccf-96ef9a047b9b · outbound

This paper cites Working Groups: Artificial Intelligence/Machine Learning-enabled.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Working Groups: Artificial Intelligence/Machine Learning-enabled

Reference 57

Resolution
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raw_fallback, observed 2026-08-10T13:58:45.011364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:43.989761Z digest=sha256:1acd5255b1cbd7b25fe2c808aee5eb0917cb125f8f168cedfd6b535521b4e08d

Observation 37e2f71d-543e-4f74-bcee-3cd4c6a918d1 · outbound

This paper cites A framework for human evaluation of large language models in healthcare derived from literature review.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action A framework for human evaluation of large language models in healthcare derived from literature review

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:44.998110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:43.993699Z digest=sha256:a02fcb82f3686c39d70777ab664c8e52bbb4046b2eb23eb922c667596cbadf2a

Observation beb7c582-7393-4678-ac34-a7f776aee128 · outbound

This paper cites Assessment of Adherence to Reporting Guidelines by Commonly Used Clinical Prediction Models From a Single Vendor: A Systematic Review.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Assessment of Adherence to Reporting Guidelines by Commonly Used Clinical Prediction Models From a Single Vendor: A Systematic Review

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:44.984031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:43.997960Z digest=sha256:e9ac42d3ff25daa09908c09c63eab3df5616ab7684637534958fbcc613f28685

Observation 66ea9f17-5380-4f98-9452-ddcce32d4c7c · outbound

This paper cites The value of standards for health datasets in artificial intelligence-based applications.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action The value of standards for health datasets in artificial intelligence-based applications

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:44.973100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:44.002648Z digest=sha256:2e25e13e17ac57a6f338c5370281d321b21690472560c476de8184c6d97d025a

Observation ed8247fe-df74-4320-aa89-fca5fe6aa4f0 · outbound

This paper cites an unresolved cited work.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:58:44.961622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:44.006419Z digest=sha256:df53c5ab132a514f6ae8f76e6b6345d791724ccd97879625e96a987fcdef93cd

Observation 4a61a378-edd9-408c-a729-d24a8424095e · outbound

This paper cites an unresolved cited work.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:58:44.950557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:44.011232Z digest=sha256:220d4c26b9336dfa1de9f64a785a3499ae7068286a08250c9d66b1a4c9d9645a

Observation 8e5386cc-0e5e-4733-8eb5-bb4892bf8945 · outbound

This paper cites an unresolved cited work.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:58:44.938779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:44.014646Z digest=sha256:5ec2a90d8725ec5e0138c34af3d71784620611e71d7ea1e950fddf4a3d76c949

Observation 6ab6389e-c738-438f-84b2-36b94a54e036 · outbound

This paper cites Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:44.927533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:44.018886Z digest=sha256:588da68c2851fb8f9722e59f27a870ee19740af820da1b043b09c5c0f25da0b9

Observation a7fde776-47e2-4740-9dea-ca9a3a1efda3 · outbound

This paper cites An ethics assessment tool for artificial intelligence implementation in healthcare: CARE-AI.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action An ethics assessment tool for artificial intelligence implementation in healthcare: CARE-AI

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:44.914407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:44.023441Z digest=sha256:cc6f6d3f8c1c211ea54e37e3b33b425872a49b97d805fd88d7d1c312cd254c1d

Observation 41b17ad2-411c-4c9c-9960-e5c62fe64733 · outbound

This paper cites A Nationwide Network of Health AI Assurance Laboratories.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action A Nationwide Network of Health AI Assurance Laboratories

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:44.901829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:44.028047Z digest=sha256:7aa52373e6021839441ef071ade91d287f82ccebe0d19d6bd3ea4ff846fb88df

Observation 122c9eab-48e6-4099-bda1-3b3c1caabe34 · outbound

This paper cites UC Davis Health: Health and Technology.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action UC Davis Health: Health and Technology

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:44.890507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:44.031973Z digest=sha256:7a3293609c5aa11a509b5c2f82fee485f2a9a24d3c41896f2fa4563cf31e5402

Observation 0aa93809-875b-4e38-bade-6ab97ee7ba9e · outbound

This paper cites & Singh, K.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action & Singh, K

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:44.879119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 41eb30e9-09a4-4cd0-9684-267a11f6bccc · outbound

This paper cites Disparities in clinical studies of AI enabled applications from a global perspective.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Disparities in clinical studies of AI enabled applications from a global perspective

Reference 69

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:44.168019Z digest=sha256:bede8a02a501a3802e081f79eebf742ca88275ce1f001e3ed2741f5f8fffd877

Observation eb137c0d-37b9-46e3-9ea1-5eeca9a95cc3 · outbound

This paper cites Considerations for addressing bias in artificial intelligence for health equity.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Considerations for addressing bias in artificial intelligence for health equity

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:44.855863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:44.250785Z digest=sha256:5dca3181d95e0aed687c9ddb020568731cf1d6ea5947244d813eff6e91b9aa1e

Observation 7ef7cbd4-4273-4114-9dc5-a66a88539d90 · outbound

This paper cites & Gilbert, S.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action & Gilbert, S

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:44.844657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:44.320361Z digest=sha256:07983eff67716355ef8259f89d93ee89cf7040a39fbc71e9ea6381daac968847

Observation 78b960c2-38b4-41ba-8ca5-ad4648c0f6c4 · outbound

This paper cites Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-10T13:58:44.440646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:58:44.440646Z digest=sha256:3286c933b656002632bb57e964030c6ca3e1b653801666d9a1524f98d4e874c9

Observation 47bfe724-7c6f-41e0-960f-a657b95e50b2 · outbound

This paper cites Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:44.833484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:44.591741Z digest=sha256:93a238b3b58c2021e97b211237858ff6c59f92e5c3d3bb85d372c71ad45aa7de

Observation 92dd9b6b-b144-494d-b466-5915245e38e8 · outbound

This paper cites The translational gap for gene therapies in low- and middle-income countries.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action The translational gap for gene therapies in low- and middle-income countries

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:44.821843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:44.597164Z digest=sha256:25d8dd1c2565dd86494fd402f595a866a31902022282d855d89bfc58c88fcbc8

Observation 7beb5109-6d66-4aa1-bb7f-37bbe89dbc46 · outbound

This paper cites & Sandra, B.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action & Sandra, B

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:44.790970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:44.601077Z digest=sha256:00027c6041988447f2172785aa9b715a1b732652cb42548790b9aaaf39b6a4fd

Observation e5ab2863-9e9f-4de6-b80a-d8ea5b1fde01 · outbound

This paper cites Impact of Artificial Intelligence Assessment of Diabetic Retinopathy on Referral Service Uptake in a Low-Resource Setting: The RAIDERS Randomized Trial.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Impact of Artificial Intelligence Assessment of Diabetic Retinopathy on Referral Service Uptake in a Low-Resource Setting: The RAIDERS Randomized Trial

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:44.713748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:44.605111Z digest=sha256:ecddb695dc4fe8505860f368f67a185cf9dd150761e0de272dd1f4ac18e21f3f

Observation 570b9614-8e0a-46d0-b1dd-f8ecb2af1604 · outbound

This paper cites Feasibility and acceptance of artificial intelligence-based diabetic retinopathy screening in Rwanda.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Feasibility and acceptance of artificial intelligence-based diabetic retinopathy screening in Rwanda

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:44.703441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:44.609194Z digest=sha256:fb9cd68143d108e53bde7d652ace8700623e6217eacbfd557bbd072511914029

Observation 9173e9e5-d335-4986-abfc-4d6fc20af6c6 · outbound

This paper cites Integrated image-based deep learning and language models for primary diabetes care.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Integrated image-based deep learning and language models for primary diabetes care

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:58:44.693438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T13:58:44.612912Z digest=sha256:ac7e2f06db9b352ef72db1084786e587015eee528baaca279d21cbcac3112290

Pith citing papers

No inbound Pith citation observations are available.