Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

An empirical characterization of fair machine learning for clinical risk prediction
Stephen Pfohl, Agata Foryciarz, Nigam H. Shah
Journal of Biomedical Informatics (2020) Vol. 113, pp. 103621-103621
Open Access | Times Cited: 104

Showing 1-25 of 104 citing articles:

Algorithmic fairness in artificial intelligence for medicine and healthcare
Richard J. Chen, Judy J. Wang, Drew F. K. Williamson, et al.
Nature Biomedical Engineering (2023) Vol. 7, Iss. 6, pp. 719-742
Open Access | Times Cited: 183
SHIFTing artificial intelligence to be responsible in healthcare: A systematic review
Haytham Siala, Yichuan Wang
Social Science & Medicine (2022) Vol. 296, pp. 114782-114782
Open Access | Times Cited: 174
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges
Lu Cheng, Kush R. Varshney, Huan Liu
Journal of Artificial Intelligence Research (2021) Vol. 71, pp. 1137-1181
Open Access | Times Cited: 135
Addressing fairness in artificial intelligence for medical imaging
María Agustina Ricci Lara, Rodrigo Echeveste, Enzo Ferrante
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 123
Cross-ethnicity/race generalization failure of behavioral prediction from resting-state functional connectivity
Jingwei Li, Danilo Bzdok, Jianzhong Chen, et al.
Science Advances (2022) Vol. 8, Iss. 11
Open Access | Times Cited: 110
A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health
Adela C. Timmons, Jacqueline B. Duong, Natalia Simo Fiallo, et al.
Perspectives on Psychological Science (2022) Vol. 18, Iss. 5, pp. 1062-1096
Open Access | Times Cited: 83
Trustworthy Augmented Intelligence in Health Care
Elliott Crigger, Karen Reinbold, Chelsea Hanson, et al.
Journal of Medical Systems (2022) Vol. 46, Iss. 2
Open Access | Times Cited: 77
A Nationwide Network of Health AI Assurance Laboratories
Nigam H. Shah, John Halamka, Suchi Saria, et al.
JAMA (2023) Vol. 331, Iss. 3, pp. 245-245
Closed Access | Times Cited: 57
Artificial Intelligence in Cardiovascular Care—Part 2: Applications
Sneha S. Jain, Pierre Elias, Timothy J. Poterucha, et al.
Journal of the American College of Cardiology (2024) Vol. 83, Iss. 24, pp. 2487-2496
Closed Access | Times Cited: 16
Demographic bias in misdiagnosis by computational pathology models
Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, et al.
Nature Medicine (2024) Vol. 30, Iss. 4, pp. 1174-1190
Closed Access | Times Cited: 15
Responsible Artificial Intelligence for Mental Health Disorders: Current Applications and Future Challenges
Shaker El–Sappagh, Waleed Nazih, Meshal Alharbi, et al.
Deleted Journal (2025) Vol. 4, Iss. 1
Closed Access | Times Cited: 1
Mapping of machine learning approaches for description, prediction, and causal inference in the social and health sciences
Anja Leist, Matthias Klee, Jung Hyun Kim, et al.
Science Advances (2022) Vol. 8, Iss. 42
Open Access | Times Cited: 54
Evaluation of domain generalization and adaptation on improving model robustness to temporal dataset shift in clinical medicine
Lin Guo, Stephen Pfohl, Jason Fries, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 39
Towards Risk-Free Trustworthy Artificial Intelligence: Significance and Requirements
Laith Alzubaidi, Aiman Al-Sabaawi, Jinshuai Bai, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-41
Open Access | Times Cited: 35
Mitigating Racial And Ethnic Bias And Advancing Health Equity In Clinical Algorithms: A Scoping Review
Michael P. Cary, Anna Zink, Sijia Wei, et al.
Health Affairs (2023) Vol. 42, Iss. 10, pp. 1359-1368
Open Access | Times Cited: 31
EHR foundation models improve robustness in the presence of temporal distribution shift
Lin Guo, Ethan Steinberg, Scott L. Fleming, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 29
Artificial intelligence bias in medical system designs: a systematic review
Ashish Kumar, Vivekanand Aelgani, Rubeena Vohra, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 6, pp. 18005-18057
Open Access | Times Cited: 21
Accuracy and Equity in Clinical Risk Prediction
Emma Pierson
New England Journal of Medicine (2024) Vol. 390, Iss. 2, pp. 100-102
Closed Access | Times Cited: 11
An intentional approach to managing bias in general purpose embedding models
Wei‐Hung Weng, Andrew Sellergen, Atilla P. Kiraly, et al.
The Lancet Digital Health (2024) Vol. 6, Iss. 2, pp. e126-e130
Open Access | Times Cited: 11
Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare
Lin Lawrence Guo, Keith Morse, Catherine Aftandilian, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 8
A toolbox for surfacing health equity harms and biases in large language models
Stephen Pfohl, Heather Cole-Lewis, Rory Sayres, et al.
Nature Medicine (2024)
Open Access | Times Cited: 8
Assessment of Adherence to Reporting Guidelines by Commonly Used Clinical Prediction Models From a Single Vendor
Jonathan Lu, Alison Callahan, Birju Patel, et al.
JAMA Network Open (2022) Vol. 5, Iss. 8, pp. e2227779-e2227779
Open Access | Times Cited: 35
The AI life cycle: a holistic approach to creating ethical AI for health decisions
Madelena Y. Ng, Supriya Kapur, Katherine D. Blizinsky, et al.
Nature Medicine (2022) Vol. 28, Iss. 11, pp. 2247-2249
Open Access | Times Cited: 33
Generalizability challenges of mortality risk prediction models: A retrospective analysis on a multi-center database
Harvineet Singh, Vishwali Mhasawade, Rumi Chunara
PLOS Digital Health (2022) Vol. 1, Iss. 4, pp. e0000023-e0000023
Open Access | Times Cited: 32
Picture a data scientist: a call to action for increasing diversity, equity, and inclusion in the age of AI
Anne de Hond, Marieke van Buchem, Tina Hernandez‐Boussard
Journal of the American Medical Informatics Association (2022) Vol. 29, Iss. 12, pp. 2178-2181
Open Access | Times Cited: 28
Page 1 - Next Page

Scroll to top