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

Artificial Intelligence (1831) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (931) Ethics, Privacy, and Legal Issues (566) Validity, Reliability, and Bias (104)

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 (13) Tweetations (10) Metrics

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  3. Artsi Y, Sorin V, Konen E, Glicksberg B, Nadkarni G, Klang E. Large language models for generating medical examinations: systematic review. BMC Medical Education 2024;24(1) View
  4. Franklin G, Stephens R, Piracha M, Tiosano S, Lehouillier F, Koppel R, Elkin P. The Sociodemographic Biases in Machine Learning Algorithms: A Biomedical Informatics Perspective. Life 2024;14(6):652 View
  5. Pedersen M, Kusk M, Lysdahlgaard S, Mork-Knudsen H, Malamateniou C, Jensen J. A Nordic survey on artificial intelligence in the radiography profession – Is the profession ready for a culture change?. Radiography 2024;30(4):1106 View
  6. Han Y, Wu H, Ke P, Wu X. A commentary on ‘ChatGPT in medicine: prospects and challenges – a review article’. International Journal of Surgery 2024;110(8):5171 View
  7. Liebert E, Bures D, Ruoff P, Sander J. Digitale Transformation im Krankenhaus: der Mensch im Zentrum des Wandels. Zeitschrift für Komplementärmedizin 2024;16(06):28 View
  8. Li F, Wang S, Gao Z, Qing M, Pan S, Liu Y, Hu C. Harnessing artificial intelligence in sepsis care: advances in early detection, personalized treatment, and real-time monitoring. Frontiers in Medicine 2025;11 View
  9. Wei S, Guo X, He S, Zhang C, Chen Z, Chen J, Huang Y, Zhang F, Liu Q. Application of Machine Learning for Patients With Cardiac Arrest: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2025;27:e67871 View
  10. Patil N, Kou N, Baptista‐Hon D, Monteiro O. Artificial Intelligence in Medical Education: A Practical Guide for Educators. MedComm – Future Medicine 2025;4(2) View
  11. Draper-Amason D, Joe M. LAYING THE GROUNDWORK: AI IN MATURITY MODEL DEVELOPMENT, SERIES PART 1. Performance Improvement Journal 2024;63(4):147 View

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