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

Applications of AI (148) Artificial Intelligence (1623) Ethical, Legal, and Social Issues in AI (48) Ethics, Privacy, and Legal Issues (535) Equity and Digital Divide (268) Demographics of Users, Social & Digital Divide (811) Systemic Racism and Racial Bias in Health Care and Society (91)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58275, first published .
Ensuring Appropriate Representation in Artificial Intelligence–Generated Medical Imagery: Protocol for a Methodological Approach to Address Skin Tone Bias

Ensuring Appropriate Representation in Artificial Intelligence–Generated Medical Imagery: Protocol for a Methodological Approach to Address Skin Tone Bias

Ensuring Appropriate Representation in Artificial Intelligence–Generated Medical Imagery: Protocol for a Methodological Approach to Address Skin Tone Bias

Authors of this article:

Andrew O'Malley1 Author Orcid Image ;   Miriam Veenhuizen1 Author Orcid Image ;   Ayla Ahmed1 Author Orcid Image
Article Authors Cited by (1) Tweetations (5) Metrics Author Video

Journals

  1. Ahmed A, Kerr E, O’Malley A. Quality assurance and validity of AI-generated single best answer questions. BMC Medical Education 2025;25(1) View