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Paper Citation Record · LEDGER

Bayesian uncertainty estimation improves clinical decision making in medical AI agents

As of 20 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2607.20582.

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

pith.paper-citation-record.v1
2607.20582 v1

Coverage vector

measured 27 of 27 reference resolution

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measured 27 of 27 standing notices

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Reference resolution

27 of 27 outbound references displayed

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Outbound references

Observation d6bf07dc-8234-4287-ae79-250ffce6121b · outbound

This paper cites Diagnostic error and bias in the department of radiology: a pictorial essay.Insights into Imaging14, 163 (2023).

Bayesian uncertainty estimation improves clinical decision making in medical AI agents Diagnostic error and bias in the department of radiology: a pictorial essay.Insights into Imaging14, 163 (2023)

Reference 1

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Observation c626c033-8216-477a-b58e-4790cee55d21 · outbound

This paper cites Mod- eling clinical uncertainty in radiology reports: from explicit uncertainty markers to implicit reasoning pathways.

Bayesian uncertainty estimation improves clinical decision making in medical AI agents Mod- eling clinical uncertainty in radiology reports: from explicit uncertainty markers to implicit reasoning pathways

Reference 2

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Observation b51ec2d2-a270-4fc9-8d6c-b8c5b4047080 · outbound

This paper cites Mitigating overconfidence in large language models: a behavioral lens on confidence estimation and calibration.

Bayesian uncertainty estimation improves clinical decision making in medical AI agents Mitigating overconfidence in large language models: a behavioral lens on confidence estimation and calibration

Reference 3

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Observation 672652e5-0a49-43f1-a7e9-182fc1b959a9 · outbound

This paper cites Quantifying uncert-AI-nty: testing the accuracy of LLMs’ confidence judgments.Memory & Cognition54, 375–400 (2025).

Bayesian uncertainty estimation improves clinical decision making in medical AI agents Quantifying uncert-AI-nty: testing the accuracy of LLMs’ confidence judgments.Memory & Cognition54, 375–400 (2025)

Reference 4

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Observation 12a2f39f-50b2-4df9-8907-771ffefeb89d · outbound

This paper cites Learn to be uncertain: leveraging uncertain labels in chest X-rays with Bayesian neural networks.

Bayesian uncertainty estimation improves clinical decision making in medical AI agents Learn to be uncertain: leveraging uncertain labels in chest X-rays with Bayesian neural networks

Reference 5

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Observation 9e4fad1c-b6ae-49d4-952d-8ac3f3c348b9 · outbound

This paper cites Uncertainty quan- tification in segmenting tuberculosis-consistent findings in frontal chest X-rays.

Bayesian uncertainty estimation improves clinical decision making in medical AI agents Uncertainty quan- tification in segmenting tuberculosis-consistent findings in frontal chest X-rays

Reference 6

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Observation 74cc4424-48d6-4670-b09a-37dc45ab1f9e · outbound

This paper cites Integrating uncertainty in deep neural networks for MRI based stroke analysis.Medical Image Analysis65, 101790 (2020).

Bayesian uncertainty estimation improves clinical decision making in medical AI agents Integrating uncertainty in deep neural networks for MRI based stroke analysis.Medical Image Analysis65, 101790 (2020)

Reference 7

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Observation be0a7a8e-f946-4ec5-a0f5-0bc8976ac9f5 · outbound

This paper cites Improving uncertainty estimation with semi-supervised deep learning for COVID-19 detection using chest X-ray images.IEEE Access9, 85442–85454 (2021).

Bayesian uncertainty estimation improves clinical decision making in medical AI agents Improving uncertainty estimation with semi-supervised deep learning for COVID-19 detection using chest X-ray images.IEEE Access9, 85442–85454 (2021)

Reference 8

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Bayesian uncertainty estimation improves clinical decision making in medical AI agents Unresolved cited work

Reference 9

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Observation d73d113b-7deb-490a-84d9-5f10c77e023a · outbound

This paper cites A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks.

Bayesian uncertainty estimation improves clinical decision making in medical AI agents A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks

Reference 10

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Observation d738950a-4f0d-4298-a9ed-bf8374bc4ad7 · outbound

This paper cites Bayesian uncertainty estimation for detection of long-tailed and unseen conditions in medical images.Journal of Medical Imaging10(5), 054501 (2023).

Bayesian uncertainty estimation improves clinical decision making in medical AI agents Bayesian uncertainty estimation for detection of long-tailed and unseen conditions in medical images.Journal of Medical Imaging10(5), 054501 (2023)

Reference 11

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Bayesian uncertainty estimation improves clinical decision making in medical AI agents Unresolved cited work

Reference 12

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Observation 9c0d91fc-b181-48d6-a2f6-762e9edd37d1 · outbound

This paper cites Dropout as a Bayesian approximation: representing model uncertainty in deep learning.

Bayesian uncertainty estimation improves clinical decision making in medical AI agents Dropout as a Bayesian approximation: representing model uncertainty in deep learning

Reference 13

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Observation e3e8dd1c-9b20-4225-87eb-e6d4f59f4951 · outbound

This paper cites A survey of uncertainty in deep neural networks.Artificial Intelligence Review56, 1513–1589 (2023).

Bayesian uncertainty estimation improves clinical decision making in medical AI agents A survey of uncertainty in deep neural networks.Artificial Intelligence Review56, 1513–1589 (2023)

Reference 14

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Observation 4e777c4b-5587-4776-99b7-a61805ed237e · outbound

This paper cites Simple and scalable predictive uncer- tainty estimation using deep ensembles.

Bayesian uncertainty estimation improves clinical decision making in medical AI agents Simple and scalable predictive uncer- tainty estimation using deep ensembles

Reference 15

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Observation 28757223-57e0-41bb-892f-4b52f2dbbc59 · outbound

This paper cites Evaluating scalable Bayesian deep learning methods for robust computer vision.

Bayesian uncertainty estimation improves clinical decision making in medical AI agents Evaluating scalable Bayesian deep learning methods for robust computer vision

Reference 16

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This paper cites How certain is your Transformer? In:Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 1833–1840, 2021.

Bayesian uncertainty estimation improves clinical decision making in medical AI agents How certain is your Transformer? In:Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 1833–1840, 2021

Reference 17

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Observation 16caa9b3-c5c1-409d-8e1d-a444641434d1 · outbound

This paper cites Foundation models for generalist medical artificial intelligence.Nature616, 259–265 (2023).

Bayesian uncertainty estimation improves clinical decision making in medical AI agents Foundation models for generalist medical artificial intelligence.Nature616, 259–265 (2023)

Reference 18

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This paper cites Towards generalist biomedical AI.NEJM AI1(3), AIoa2300138 (2024).

Bayesian uncertainty estimation improves clinical decision making in medical AI agents Towards generalist biomedical AI.NEJM AI1(3), AIoa2300138 (2024)

Reference 19

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Observation 054b9dff-1c1b-4450-96e1-b6f6f8e29c82 · outbound

This paper cites Development and validation of an autonomous artificial intelli- gence agent for clinical decision-making in oncology.Nature Cancer6, 1337–1349 (2025).

Bayesian uncertainty estimation improves clinical decision making in medical AI agents Development and validation of an autonomous artificial intelli- gence agent for clinical decision-making in oncology.Nature Cancer6, 1337–1349 (2025)

Reference 20

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This paper cites A survey of LLM-based agents in medicine: how far are we from Baymax? In:Findings of the Association for Computational Linguistics: ACL 2025, 10345–10359, 2025.

Bayesian uncertainty estimation improves clinical decision making in medical AI agents A survey of LLM-based agents in medicine: how far are we from Baymax? In:Findings of the Association for Computational Linguistics: ACL 2025, 10345–10359, 2025

Reference 21

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Observation 4a1acc85-0b9f-456c-b9dd-95f300cb4bde · outbound

This paper cites DINOv2: learning robust visual features without supervision.Transactions on Machine Learning Research(2024).

Bayesian uncertainty estimation improves clinical decision making in medical AI agents DINOv2: learning robust visual features without supervision.Transactions on Machine Learning Research(2024)

Reference 22

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This paper cites A comprehensive bedside chest radiography dataset with structured, itemized and graded radiologic reports.

Bayesian uncertainty estimation improves clinical decision making in medical AI agents A comprehensive bedside chest radiography dataset with structured, itemized and graded radiologic reports

Reference 23

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Bayesian uncertainty estimation improves clinical decision making in medical AI agents Auto-Encoding Variational Bayes

Reference 24

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This paper cites Deep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays.Scientific Reports14, 25151 (2024).

Bayesian uncertainty estimation improves clinical decision making in medical AI agents Deep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays.Scientific Reports14, 25151 (2024)

Reference 25

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Observation c3f57565-90f2-4ddd-9066-e193509c549d · outbound

This paper cites Error and discrepancy in radiology: inevitable or avoidable?Insights into Imaging8, 171–182 (2017).

Bayesian uncertainty estimation improves clinical decision making in medical AI agents Error and discrepancy in radiology: inevitable or avoidable?Insights into Imaging8, 171–182 (2017)

Reference 26

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This paper cites Uncertainty estimation in medical image classification: systematic review.JMIR Medical Informatics10(8), e36427 (2022).

Bayesian uncertainty estimation improves clinical decision making in medical AI agents Uncertainty estimation in medical image classification: systematic review.JMIR Medical Informatics10(8), e36427 (2022)

Reference 27

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