Paper Citation Record · LEDGER

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations

As of 20 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2505.06620.

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

pith.paper-citation-record.v1
2505.06620 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:41:10.608105Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T01:00:36.771638Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:09:56.397119Z

Reference resolution

51 of 51 outbound references displayed

verified exact1
verified fuzzy38
unresolved11
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5a72b9cf-902d-4194-a57a-ba8b8bad454c · outbound

This paper cites In: Hagen, H.

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations In: Hagen, H

Reference 1

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Observation d8f5f5b3-d91f-4a1b-b256-0469d605d9d6 · outbound

This paper cites BMC medical informatics and decision making 20, 1–9 (2020).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations BMC medical informatics and decision making 20, 1–9 (2020)

Reference 2

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Observation f21451b0-5a18-4b5c-97a5-d64d33dcde06 · outbound

This paper cites BMC medical informatics and decision making 21(1), 178 (2021).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations BMC medical informatics and decision making 21(1), 178 (2021)

Reference 3

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Observation 85dfeaa0-a9e7-457b-97d4-7115f6fecb08 · outbound

This paper cites Computers and Biomedical Research 14(6), 542–558 (1981).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Computers and Biomedical Research 14(6), 542–558 (1981)

Reference 4

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Observation 540fd947-790d-4081-a253-e53291ef1bd9 · outbound

This paper cites Available at SSRN 4773350 (2024).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Available at SSRN 4773350 (2024)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:11.103064Z

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Observation 98856b6d-ee2d-4560-9ac0-4e17001ce505 · outbound

This paper cites Science 366(6464), 447–453 (2019) 40.

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Science 366(6464), 447–453 (2019) 40

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:11.095248Z

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Observation b45f4f14-961c-4dd6-9e22-c1e6e51bb660 · outbound

This paper cites Information Fusion 77, 29–52 (2022).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Information Fusion 77, 29–52 (2022)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:11.086069Z

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Observation dee1bdc6-a2e0-4f3c-931b-141efeeb2628 · outbound

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Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Unresolved cited work

Reference 8

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Observation 489f843c-18ca-4e39-b4b3-b8ea46a418ae · outbound

This paper cites Health and Technology 14(1), 1–14 (2024).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Health and Technology 14(1), 1–14 (2024)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:11.070278Z

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Observation 07556972-9c54-41b4-b584-b0ab91566656 · outbound

This paper cites In: Proceedings of the First International Symposium on Trustworthy Autonomous Systems.

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations In: Proceedings of the First International Symposium on Trustworthy Autonomous Systems

Reference 10

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Observation d1b1b824-94c2-43ff-9c66-72a2f44cfafc · outbound

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Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Unresolved cited work

Reference 11

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Observation c8bc4506-8ddf-4379-ba4a-9b67b37431f6 · outbound

This paper cites The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective.

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Reference 12

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Observation bc285295-3e5f-4cb2-bda7-febf7ec04b35 · outbound

This paper cites World Wide Web 24(5), 1857–1884 (2021).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations World Wide Web 24(5), 1857–1884 (2021)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:11.053871Z

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Observation 1096be5a-f039-4bdc-afe2-a15c0de7d7df · outbound

This paper cites IEEE Access 8, 220335–220351 (2020) 41.

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations IEEE Access 8, 220335–220351 (2020) 41

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:11.045670Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 93a9c64f-2174-4093-b523-9bc760b403bc · outbound

This paper cites Patterns 1(4) (2020).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Patterns 1(4) (2020)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:11.038087Z

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Observation 2b8e68f1-e139-4c6d-8dbf-1ae366f702dd · outbound

This paper cites Plos one 15(2), 0229132 (2020).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Plos one 15(2), 0229132 (2020)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:11.030346Z

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Observation cc493a78-4579-4204-bb8a-423d61075e32 · outbound

This paper cites International Journal of Human-Computer Studies 169, 102941 (2023).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations International Journal of Human-Computer Studies 169, 102941 (2023)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:11.021840Z

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Observation 669bd8d5-baa9-484b-9420-438c2cea89d1 · outbound

This paper cites In: Workshop” Automation Experience Across Domains” in Conjunction with CHI2020 (2020).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations In: Workshop” Automation Experience Across Domains” in Conjunction with CHI2020 (2020)

Reference 18

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Observation e602120c-898a-4092-8b3e-25e5529aeeab · outbound

This paper cites BMJ Health & Care Informatics 30(1) (2023).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations BMJ Health & Care Informatics 30(1) (2023)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:11.006238Z

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Observation 1f0fc615-df2d-4281-88ee-b9143c9e1af3 · outbound

This paper cites In: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems.

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations In: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems

Reference 20

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Observation bbda63e0-c420-470f-8e75-911e996eb6db · outbound

This paper cites IEEE Transactions on Emerging Topics in Computing 10(4), 1746–1760 (2022).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations IEEE Transactions on Emerging Topics in Computing 10(4), 1746–1760 (2022)

Reference 21

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Observation 72612bab-7cc4-41c7-a14f-3c4a20488295 · outbound

This paper cites Model-Agnostic Interpretability of Machine Learning.

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Model-Agnostic Interpretability of Machine Learning

Reference 22

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Observation 97faac3f-2df7-4ce6-89f2-986bf8c1adc9 · outbound

This paper cites Neural computing and applications 32(24), 18069–18083 (2020).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Neural computing and applications 32(24), 18069–18083 (2020)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:10.983188Z

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Observation 3a21a8b7-e701-41c0-bb5c-92ff0443ef50 · outbound

This paper cites Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10(5), 1379 (2020).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10(5), 1379 (2020)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:10.975163Z

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Observation 2a420703-de52-481e-8c65-0d260c7af516 · outbound

This paper cites The Lancet Digital Health 2(9), 489–492 (2020).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations The Lancet Digital Health 2(9), 489–492 (2020)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:10.966723Z

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Observation 3156784f-3e3a-4364-8632-88e18b1e86cd · outbound

This paper cites International Journal of Information Management 69, 102538 (2023).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations International Journal of Information Management 69, 102538 (2023)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:10.990784Z

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Observation 10681d19-b3f1-4b60-ab44-cd667b85b0da · outbound

This paper cites In: 2021 IEEE 15th International Conference on Semantic Computing (ICSC), pp.

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations In: 2021 IEEE 15th International Conference on Semantic Computing (ICSC), pp

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:10.957989Z

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Observation ba9bfb2f-b25f-4f4b-8567-83e9f7b2409e · outbound

This paper cites IEEE access 6, 52138–52160 (2018).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations IEEE access 6, 52138–52160 (2018)

Reference 29

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This paper cites 43 Artificial intelligence 267, 1–38 (2019).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations 43 Artificial intelligence 267, 1–38 (2019)

Reference 30

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Observation 5e4aff1f-c22c-44af-b49c-2d4c2331576a · outbound

This paper cites Applied Sciences 11(11), 5088 (2021).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Applied Sciences 11(11), 5088 (2021)

Reference 31

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Observation 41e7eb59-2985-4aa3-89be-58e19437c33a · outbound

This paper cites In: Proceedings of the 22nd ACM SIGKDD Inter- national Conference on Knowledge Discovery and Data Mining, pp.

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations In: Proceedings of the 22nd ACM SIGKDD Inter- national Conference on Knowledge Discovery and Data Mining, pp

Reference 32

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This paper cites PhD thesis, Michigan Technological University (2020).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations PhD thesis, Michigan Technological University (2020)

Reference 33

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Observation f9071a67-c929-41d5-b932-4a0df53d9dbb · outbound

This paper cites In: Handbook of Artificial Intelligence in Healthcare: Vol 2: Practicalities and Prospects, pp.

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations In: Handbook of Artificial Intelligence in Healthcare: Vol 2: Practicalities and Prospects, pp

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:10.912439Z

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Observation 3e0d4b67-d34f-4f34-970a-768e40ae0f68 · outbound

This paper cites npj Digital Medicine 6(1), 94 (2023).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations npj Digital Medicine 6(1), 94 (2023)

Reference 35

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Observation 28f669f7-f6f8-4094-8f1a-8a84948d57ff · outbound

This paper cites Advances in neural information processing systems 30 (2017).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Advances in neural information processing systems 30 (2017)

Reference 36

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This paper cites In: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, pp.

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations In: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, pp

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:10.891657Z

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Observation d92c20b4-2ba7-4685-83e3-2b69d51e32be · outbound

This paper cites Evaluation of Popular XAI Applied to Clinical Prediction Models: Can They be Trusted?.

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Evaluation of Popular XAI Applied to Clinical Prediction Models: Can They be Trusted?

Reference 38

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This paper cites Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review.

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Reference 39

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Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Informa- tion Sciences 655, 119898 (2024)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:10.883174Z

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Observation 7bd71801-14a0-4f85-834c-da2709b68dd0 · outbound

This paper cites In: Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, pp.

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations In: Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, pp

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:10.875186Z

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Observation 43065cac-d5d0-4f02-9c23-857bd08249ae · outbound

This paper cites URL: https://christophm.

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations URL: https://christophm

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:10.867524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e0e770c8-a5be-4c65-aae0-e3aaa0f64630 · outbound

This paper cites In: 2017 IEEE 41st Annual Com- puter Software and Applications Conference (COMPSAC), vol.

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations In: 2017 IEEE 41st Annual Com- puter Software and Applications Conference (COMPSAC), vol

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:10.859695Z

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Observation f7e188e1-d8e2-41e6-b70a-22a7c00ea3e6 · outbound

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Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Expert Systems with Applications 30(2), 272–281 (2006)

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:10.851568Z

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Observation ab9f1625-42da-4949-91d7-4e23dda2e4cd · outbound

This paper cites Advances in neural information processing systems 34, 23928– 23941 (2021).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Advances in neural information processing systems 34, 23928– 23941 (2021)

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:10.843456Z

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Observation e50fd674-93d6-4803-87e9-480c7dd278c9 · outbound

This paper cites Information Fusion 81, 84–90 (2022).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Information Fusion 81, 84–90 (2022)

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T22:41:10.591692Z

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This paper cites IEEE Transactions on Neural Networks and Learning Systems (2022).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations IEEE Transactions on Neural Networks and Learning Systems (2022)

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:10.830851Z

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Observation fa491da3-3001-408b-a10d-31a86b4959c1 · outbound

This paper cites Sensors 22(22), 8615 (2022).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Sensors 22(22), 8615 (2022)

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:10.823019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9bf5efc1-b2e0-45c8-8310-c84dccb3bf36 · outbound

This paper cites Applied Sciences 12(20), 10323 (2022).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Applied Sciences 12(20), 10323 (2022)

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:10.814880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8a26c794-8e0d-44f2-9f2b-2d145c959827 · outbound

This paper cites IEEE Transactions on Artificial Intelligence (2021).

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations IEEE Transactions on Artificial Intelligence (2021)

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:10.806779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 35604c3a-6781-4022-bc1d-5741a50ad4cc · outbound

This paper cites an unresolved cited work.

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:41:10.798480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 573fe090-1ae8-4988-9a6c-597240a97a64 · outbound

This paper cites IEEE Transactions on Visualization and Computer Graphics 27(2), 1427–1437 (2020) 46 Appendix A: Ethical Approval Requirements for the Pilot Study) Go straight to content.

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations IEEE Transactions on Visualization and Computer Graphics 27(2), 1427–1437 (2020) 46 Appendix A: Ethical Approval Requirements for the Pilot Study) Go straight to content

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:10.790373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation 38ffd4ef-e6aa-4279-977e-db396c7872be · inbound

Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy cites this paper.

Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:09:56.398647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.