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

Artificial Intelligence (2249) Ethical, Legal, and Social Issues in AI (113) Responsible Health AI (66) Focus Groups and Qualitative Research for Human Factors Research (1271) Validity, Reliability, and Bias (113) Gender Dysphoria and Transgender Issue (28) LGBTQ Issues (556) Precision Medicine (174)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72325, first published .
Exploring Gender Bias in AI for Personalized Medicine: Focus Group Study With Trans Community Members

Exploring Gender Bias in AI for Personalized Medicine: Focus Group Study With Trans Community Members

Exploring Gender Bias in AI for Personalized Medicine: Focus Group Study With Trans Community Members

Authors of this article:

Nataly Buslón1 Author Orcid Image ;   Davide Cirillo2 Author Orcid Image ;   Oriol Rios3, 4 Author Orcid Image ;   Simón Perera del Rosario4, 5 Author Orcid Image
Article Authors Cited by (2) Tweetations (12) Metrics

Journals

  1. Yuan S, Guo L, Xu F. Artificial intelligence in nephrology: predicting CKD progression and personalizing treatment. International Urology and Nephrology 2025 View
  2. Dev N, Joy S. Human Voices and Algorithmic Echoes: Resignifying Transfeminine Experiences Through Hybrid Poetics Framework. International Journal of Human–Computer Interaction 2026:1 View