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Paper Citation Record · LEDGER

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

As of 22 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 2026-08-22T06:32:14.747728+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
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

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

Resolution
verified exact
doi, observed 2026-08-15T22:41:10.635471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:41:11.127205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.469594Z digest=sha256:e73838724256e1f4524483dc20da82803c1624035e35d22d7bfc15735a84c1e5

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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.472442Z digest=sha256:e851d6eb61093b56c0e85ef621a7a90c93b1f69ae4916881a066108a2572555d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:41:11.111099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.475441Z digest=sha256:b54ffc10a4b10cd5a6b3fe2f48eedc2ef7757be014aeb0ecc2f30fb163f8abb2

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.478422Z digest=sha256:a626de8e18a6a947a519b30afbf2cb483cadd018c9ee30fb672842ba4eed1e7b

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.481214Z digest=sha256:1b40390c6ebc068e35aa42fd9aee855e6cc783b744e3a7f7c034c88970a953dc

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.484263Z digest=sha256:ac82f822fb66ecae286a02aae38d362b33898a40bb1ff0a4c4894235d404a40e

Observation dee1bdc6-a2e0-4f3c-931b-141efeeb2628 · 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 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.489698Z digest=sha256:8ea159cf96091075ed1da2cc3529283d8541df72839df822ec5970cb61493be7

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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d1b1b824-94c2-43ff-9c66-72a2f44cfafc · 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 11

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.495120Z digest=sha256:b8bdfb103318549ab32e26b1c7333a70a7b69c7a5017384526a848e354b167b7

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

Resolution
unresolved
no resolver link, observed 2026-08-15T22:41:10.497709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:41:10.497709Z digest=sha256:233f9b84c50c7b7bdc5e5693ffbd2f37ffabaacbe6331a608c85f68d51a01185

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.501066Z digest=sha256:cb45663e1662c80fd161c890f7781775f610ddffdf0ef9dd9dfe2674fe59c926

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.503749Z digest=sha256:3a1eaf023e6477b047cbc25ea35381a73332a5e2bab9058c46ee4ff77c6e53f9

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.506358Z digest=sha256:80d3a025b12bda21bf4ee263b2c4afa7766be3ae4f354260bc87ae12de315e80

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.511570Z digest=sha256:18e6306f8e965e0903a12800c2b42ac68d6bb3a16bab67afe0ba3e102e762e19

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.514661Z digest=sha256:af701f70504c40b666bec6477b97f787e3763460bcac89453913777ea621ad5b

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.517256Z digest=sha256:133e2074d4748910be83a8caec4074d29bcc20b5eee9f768e6b89ef4557d8e25

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

Resolution
unresolved
no resolver link, observed 2026-08-15T22:41:10.519897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:41:10.519897Z digest=sha256:e877fbcaf94f09a521def833a0235148479311e7abfb5902a055d00f62f4f70c

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

Resolution
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raw_fallback, observed 2026-08-15T22:41:10.998477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.522818Z digest=sha256:965b20d99712b58b13d1ee9fc4d9e210253eabb1798a38551da518e906ece476

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

Resolution
unresolved
no resolver link, observed 2026-08-15T22:41:10.525436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:41:10.525436Z digest=sha256:3532722fce62ecc6aa7354ccd000818f68f0f1f923908f26ece77a5100564fa8

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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
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raw_fallback, observed 2026-08-15T22:41:10.975163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.534148Z digest=sha256:bfaa1347d7166ffd571db00869c45c7790aa11ce0d57b8b67c5583c70297d9b2

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

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raw_fallback, observed 2026-08-15T22:41:10.966723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.536850Z digest=sha256:8eb52147c4bd44e332cbde6398ded0cd1555154b68b21bb656828d81a2366a0c

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
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raw_fallback, observed 2026-08-15T22:41:10.990784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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

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raw_fallback, observed 2026-08-15T22:41:10.957989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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

Resolution
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raw_fallback, observed 2026-08-15T22:41:10.949035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ec461544-cf21-4a52-80ac-ccb4aa168910 · outbound

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

Resolution
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raw_fallback, observed 2026-08-15T22:41:10.941035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.547683Z digest=sha256:64803879fca3df673e78ea862e82e271fc7bb071f0596ea92b854196271038f2

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

Resolution
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raw_fallback, observed 2026-08-15T22:41:10.932875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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

Resolution
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no resolver link, observed 2026-08-15T22:41:10.552978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c6ce3fcb-572d-4d07-8279-d32aec887081 · outbound

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

Resolution
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raw_fallback, observed 2026-08-15T22:41:10.920619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.558289Z digest=sha256:e6a29bdc54158cd8db10376f04ba5e78ee814b995098567e4523062342e43137

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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

Resolution
unresolved
no resolver link, observed 2026-08-15T22:41:10.563385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 32eeef7d-da21-4986-bb4c-641a1360692d · outbound

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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

Resolution
unresolved
no resolver link, observed 2026-08-15T22:41:10.569421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6cbd3969-8a01-4114-87f9-fe000033cec2 · outbound

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

Resolution
unresolved
no resolver link, observed 2026-08-15T22:41:10.572302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a5f95b9e-13d7-4a52-aeb7-a0b1035a2c70 · outbound

This paper cites Informa- tion Sciences 655, 119898 (2024).

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

Reference 40

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.575486Z digest=sha256:e3739c71a17c20019bae01b526d5c5d5b83e6583126e7d2c0a286a2825dce6c3

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.578307Z digest=sha256:f9e0272f1abfd61e9d22b315961810f67a60a95fade58bfd261c623a4dea218b

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.583638Z digest=sha256:8302cf79b35a5a8312be33a3cc75005b4aec630b2272633c885e875cdbd53488

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

This paper cites Expert Systems with Applications 30(2), 272–281 (2006).

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.586293Z digest=sha256:6957dd7fea7bf61aab6bf82addcce4d0f3004491a6aa5d05e7146d94ba09ef9e

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.589105Z digest=sha256:236226570de467d8959b6b8ed0eaab9acc02021948d90c0b16d6a0b23cd35954

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6ff06055-9aec-4117-833a-e1c6fad60a6a · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.594286Z digest=sha256:9681328a53a948e7fdd5c466a3d088de9d9827f0686aae23d2c402b6b769b6fe

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.597033Z digest=sha256:88794610f3015f22a966c4039af7c7040863c9c7be6fcd49704c92eac1b1edba

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.599778Z digest=sha256:806c913cbc3c467188beb81261d3af06cec5f926c7f73217164688546d0f81b0

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.602780Z digest=sha256:4dba2790118900e59a7bb239836b2c6f9fe4c3269dad86c53a452aa124ac05a4

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.605403Z digest=sha256:4bac33d56dbb9ef53c992cf0b7447f12312458a856e7f668491ecaf4b824b884

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:41:10.608105Z digest=sha256:4c6d8ef7f452bb9de2c0519e6c0bd5422c5895000f7335c53f5f4795ad84ea79

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T01:00:36.771638Z digest=sha256:a610c5fc2d569d6e3139dc7a86955274f9b860380d259689aea05a1210877ac9