Critical Appraisal of Fairness Metrics in Clinical Predictive AI | Paper Citation Record

Observation 98e35cc1-a0a5-4c6e-a6f1-94c467aaf601 · outbound

This paper cites Performance evaluation of predictive AI models to support medical decisions: Overview and guidance.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI Performance evaluation of predictive AI models to support medical decisions: Overview and guidance

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:08.335953Z

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.

Observation eaed85e4-ee52-4979-9e5b-b7d997384a67 · outbound

This paper cites 93 McDermott MBA, Zhang H, Hansen LH, Angelotti G, Gallifant J.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI 93 McDermott MBA, Zhang H, Hansen LH, Angelotti G, Gallifant J

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:05.172411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f8433c3-b226-4b64-b9cc-51903035454e · outbound

This paper cites Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:04.055153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0631c73-f4a8-4ab2-ad6a-3ac9624fd22c · outbound

This paper cites DOI:10.1093/OED/8693190878.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI DOI:10.1093/OED/8693190878

Reference 6

Resolution: verified exact; raw_fallback, observed 2026-08-06T23:35:06.289578Z

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.

Observation d956c5f3-b42d-4e8c-b8d3-b9cb545969cb · outbound

This paper cites Understanding algorithmic fairness for clinical prediction in terms of subgroup net benefit and health equity.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI Understanding algorithmic fairness for clinical prediction in terms of subgroup net benefit and health equity

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T23:35:06.747824Z

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.

Observation 19e773c2-35fe-47f0-84e3-f64fad373b30 · outbound

This paper cites The use of clinical risk factors enhances the performance of BMD in the prediction of hip and osteoporotic fractures in men and women.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI The use of clinical risk factors enhances the performance of BMD in the prediction of hip and osteoporotic fractures in men and women

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:08.317756Z

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.

Observation 8b46aaf7-21f7-4e08-aef6-36193b629fd5 · outbound

This paper cites A decomposition of Fisher's information to inform sample size for developing fair and precise clinical prediction models -- part 1: binary outcomes.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI A decomposition of Fisher's information to inform sample size for developing fair and precise clinical prediction models -- part 1: binary outcomes

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:05.905266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0d2bc53-3e74-4042-8a61-fc43d860414a · outbound

This paper cites Performance evaluation of predictive AI models to support medical decisions: Overview and guidance.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI Performance evaluation of predictive AI models to support medical decisions: Overview and guidance

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T23:35:07.545487Z

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.

Observation e66debcc-0625-4fbc-ba7c-11ecfcfaea20 · outbound

This paper cites 54 van der Meijden SL, Wang Y, Arbous MS, Geerts BF, Steyerberg EW, Hernandez-Boussard T.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI 54 van der Meijden SL, Wang Y, Arbous MS, Geerts BF, Steyerberg EW, Hernandez-Boussard T

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:03.743627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5648737f-07dd-43cc-a161-7fcd4059645e · outbound

This paper cites Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:08.215442Z

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.

Observation ac0ed337-b966-47ee-800e-c7a979207175 · outbound

This paper cites Ethical limitations of algorithmic fairness solutions in health care machine learning.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI Ethical limitations of algorithmic fairness solutions in health care machine learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:07.766411Z

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.

Observation 31e7b869-c270-4486-aaeb-e17745562153 · outbound

This paper cites Fairness Through Awareness.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI Fairness Through Awareness

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:02.786989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd6e9316-897c-48cc-b720-5160abc08a29 · outbound

This paper cites Counterfactual Fairness.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI Counterfactual Fairness

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:02.911648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85897738-1375-4121-ae3b-578e66cf9697 · outbound

This paper cites Certifying and removing disparate impact.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI Certifying and removing disparate impact

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:08.087978Z

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.

Observation dffa09f0-0fdd-4350-9ce2-5acbe1537db9 · outbound

This paper cites Measuring and Reducing Racial Bias in a Pediatric Urinary Tract Infection Model.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI Measuring and Reducing Racial Bias in a Pediatric Urinary Tract Infection Model

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:08.045524Z

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.

Observation 7180d84a-1daf-4cbd-821d-13c2c9f081ec · outbound

This paper cites Longitudinal fairness with censorship.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI Longitudinal fairness with censorship

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:07.954819Z

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.

Observation 2357c355-4ab2-4920-a0d6-d28b715836a2 · outbound

This paper cites 55 Foulds JR, Islam R, Keya KN, Pan S.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI 55 Foulds JR, Islam R, Keya KN, Pan S

Reference 24

Resolution: verified exact; doi, observed 2026-08-06T23:35:06.052707Z

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.

Observation 7eac3651-c970-475f-8e44-73eb2f082d54 · outbound

This paper cites Detection and mitigation of algorithmic bias via predictive parity.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI Detection and mitigation of algorithmic bias via predictive parity

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:07.797285Z

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.

Observation 5845fa59-aebc-41c3-9556-b7766ac9f4d8 · outbound

This paper cites A structured regression approach for evaluating model performance across intersectional subgroups.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI A structured regression approach for evaluating model performance across intersectional subgroups

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:05.955938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa047950-97e0-45a8-918b-27f02550a5d5 · outbound

This paper cites Fairness in Criminal Justice Risk Assessments: The State of the Art.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI Fairness in Criminal Justice Risk Assessments: The State of the Art

Reference 27

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T23:35:06.810104Z

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.

Observation 28adebe4-1328-49cd-80fc-0e6afcb37b06 · outbound

This paper cites 90 Coston A, Ramamurthy KN, Wei D, et al.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI 90 Coston A, Ramamurthy KN, Wei D, et al

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:07.777799Z

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.

Observation e09a786c-98f8-4420-80a5-39acca0c1aac · outbound

This paper cites 92 Wachter S, Mittelstadt B, Russell C.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI 92 Wachter S, Mittelstadt B, Russell C

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:05.093295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1f51517-f751-499f-a912-744a514ef5b4 · outbound

This paper cites The Measure and Mismeasure of Fairness.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI The Measure and Mismeasure of Fairness

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:03.105328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7952216a-833d-4edc-bbc3-2888c54cb01a · outbound

This paper cites A Closer Look at AUROC and AUPRC under Class Imbalance.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI A Closer Look at AUROC and AUPRC under Class Imbalance

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:05.279367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddf49d2f-5671-4185-9d3f-9819a2b90219 · outbound

This paper cites Smooth ECE: Principled Reliability Diagrams via Kernel Smoothing.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI Smooth ECE: Principled Reliability Diagrams via Kernel Smoothing

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:05.375506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d997d2c-3b23-4728-9bac-eadc6a1b883b · outbound

This paper cites Multi-disciplinary fairness considerations in machine learning for clinical trials.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI Multi-disciplinary fairness considerations in machine learning for clinical trials

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:35:06.486875Z

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.

Observation df098048-6cf6-4781-ab51-2aca82c1628e · outbound

This paper cites 107 Nielsen MW, Gissi E, Heidari S, et al.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI 107 Nielsen MW, Gissi E, Heidari S, et al

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:07.666771Z

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.

Observation 3ab4d9ea-04de-4c13-b6ee-b4fa807a00f3 · outbound

This paper cites A decomposition of Fisher's information to inform sample size for developing fair and precise clinical prediction models -- Part 2: time-to-event outcomes.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI A decomposition of Fisher's information to inform sample size for developing fair and precise clinical prediction models -- Part 2: time-to-event outcomes

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:05.925528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4202bc0e-086c-4fa4-bf7d-6bf5d3b4a54d · outbound

This paper cites Coarse race data conceals disparities in clinical risk score performance.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI Coarse race data conceals disparities in clinical risk score performance

Reference 40

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T23:35:06.388492Z

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.

Observation b8dd82a2-f183-4de1-b685-d5bbc5efd2fa · outbound

This paper cites Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:07.588028Z

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.

Observation 06f2a56a-53bf-4ef5-924f-24b8da94f221 · outbound

This paper cites Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations

Reference 126

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:08.266988Z

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.

Observation 9944d31c-9a3e-45e3-b2ca-3dcfa49cabe4 · outbound

This paper cites Soliciting stakeholders’ fairness notions in child maltreatment predictive systems.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI Soliciting stakeholders’ fairness notions in child maltreatment predictive systems

Reference 230

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:07.724752Z

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.

Observation ce74f3f6-31bb-4cbd-a937-6db4a9b22a48 · outbound

This paper cites Ethnic classiﬁcations in algorithmic fairness: Concepts, measures and implications in practice.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI Ethnic classiﬁcations in algorithmic fairness: Concepts, measures and implications in practice

Reference 243

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:08.288629Z

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.

Observation d067f0e6-3115-4691-a05c-4c022bf22216 · outbound

This paper cites Peeking into a black box, the fairness and generalizability of a MIMIC-III benchmarking model.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI Peeking into a black box, the fairness and generalizability of a MIMIC-III benchmarking model

Reference 488

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:08.019609Z

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.

Observation c432fe51-c1c3-4785-8907-3bdab096710c · outbound

This paper cites an unresolved cited work.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI Unresolved cited work

Reference 2010

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:35:08.300544Z

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.

Observation c01cc46d-6e81-4315-a191-ad0d1a532fbf · outbound

This paper cites Algorithmic decision making and the cost of fairness.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI Algorithmic decision making and the cost of fairness

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:07.868471Z

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.

Observation ac01fb14-fe84-4f0b-8fa4-705c167b15bb · outbound

This paper cites 41 Corbett-Davies S, Gaebler JD, Nilforoshan H, Shroff R, Goel S.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI 41 Corbett-Davies S, Gaebler JD, Nilforoshan H, Shroff R, Goel S

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:02.978325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c62ca837-9941-4723-8877-d112c5bdf269 · outbound

This paper cites 36 Dwork C, Hardt M, Pitassi T, Reingold O, Zemel R.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI 36 Dwork C, Hardt M, Pitassi T, Reingold O, Zemel R

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:02.650394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cce75653-40f6-46e2-94b3-52c6ffe2fc2a · outbound

This paper cites Fair and interpretable models for survival analysis.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI Fair and interpretable models for survival analysis

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:08.145766Z

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.

Observation d0636d88-cc27-4d28-9fb7-5ab9da95708a · outbound

This paper cites 101 Chien I, Deliu N, Turner RE, Weller A, Villar SS, Kilbertus N.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI 101 Chien I, Deliu N, Turner RE, Weller A, Villar SS, Kilbertus N

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:05.774750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c82b3d36-be80-40cd-94a3-60f80a1995bc · outbound

This paper cites 51 Luo Y, Tian Y, Shi M, et al.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI 51 Luo Y, Tian Y, Shi M, et al

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:03.441304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd5c03d9-eee1-4162-95ac-e747d0d91e5a · outbound

This paper cites Fairness in Machine Learning: A survey.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI Fairness in Machine Learning: A survey

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:08.246413Z

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.

Observation 97cb250a-2714-4e29-9c1d-2736e03228e5 · outbound

This paper cites Fairﬂ: A fair federated learning approach to reducing demographic bias in privacy-sensitive classiﬁcation models.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI Fairﬂ: A fair federated learning approach to reducing demographic bias in privacy-sensitive classiﬁcation models

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:08.229014Z

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers