This paper is in the following e-collection/theme issue:

Artificial Intelligence (2129) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (997) Ethics, Privacy, and Legal Issues (617) Validity, Reliability, and Bias (110)

Published on in Vol 25 (2023)

This is a member publication of Charite - Universitaetsmedizin Berlin, Medizinische Bibliothek, Germany

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41089, first published .
Artificial Intelligence Bias in Health Care: Web-Based Survey

Artificial Intelligence Bias in Health Care: Web-Based Survey

Artificial Intelligence Bias in Health Care: Web-Based Survey

Authors of this article:

Carina Nina Vorisek1 Author Orcid Image ;   Caroline Stellmach1 Author Orcid Image ;   Paula Josephine Mayer1 Author Orcid Image ;   Sophie Anne Ines Klopfenstein1, 2 Author Orcid Image ;   Dominik Martin Bures3 Author Orcid Image ;   Anke Diehl3 Author Orcid Image ;   Maike Henningsen4 Author Orcid Image ;   Kerstin Ritter5 Author Orcid Image ;   Sylvia Thun1 Author Orcid Image
Article Authors Cited by (21) Tweetations (10) Metrics

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  14. Idakwo V. From diagnosis to management: unveiling the challenges of artificial intelligence solutions in cardiovascular healthcare. BMC Digital Health 2025;3(1) View
  15. Zhou K, Cao J, Yuan X, Weissglass D, Kilhoffer Z, Sanfilippo M, Tong X. “I'm not confident in debiasing AI systems since I know too little”: Designing and Evaluating Hands‐on Gender Bias Tutorials for AI Practitioners and Learners. Proceedings of the Association for Information Science and Technology 2025;62(1):835 View
  16. Tung T, Hasnaeen S, Zhao X. Ethical and practical challenges of generative AI in healthcare and proposed solutions: a survey. Frontiers in Digital Health 2025;7 View

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