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

This study underscores the necessity for a trans-inclusive approach to precision medicine, facilitated by AI technologies that are sensitive to the health care needs and lived realities of trans people. By addressing the identified challenges and adopting community-driven solutions, AI has the potential to bridge existing health care gaps and improve the quality of life for trans individuals. This research contributes to the growing discourse on equitable health care innovation, calling for more inclusive AI design practices that extend the benefits of precision medicine to marginalized communities.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2025-05-14
DOI
https://doi.org/10.2196/72325
Citations
2
Primary Topic
Sex and Gender in Healthcare
Type
article
Field-Weighted Citation Impact
3.76
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article

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

Davide Cirillo, Nataly Buslón, Oriol Ríos, S. Perera del Rosario
2 citations
Journal of Medical Internet Research
Sex and Gender in Healthcare
3.76
article

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

Davide Cirillo, Nataly Buslón, Oriol Ríos, S. Perera del Rosario
article en
2 citations

Abstract

This study underscores the necessity for a trans-inclusive approach to precision medicine, facilitated by AI technologies that are sensitive to the health care needs and lived realities of trans people. By addressing the identified challenges and adopting community-driven solutions, AI has the potential to bridge existing health care gaps and improve the quality of life for trans individuals. This research contributes to the growing discourse on equitable health care innovation, calling for more inclusive AI design practices that extend the benefits of precision medicine to marginalized communities.

Journal of Medical Internet ResearchVol. 27
Universitat Pompeu Fabra (ES), Barcelona Supercomputing Center (ES), Gender Studies (CZ), Institut de Biologia Evolutiva (ES), Universitat Rovira i Virgili (ES), Universitat Politècnica de Catalunya (ES)
Gender equality
Openalex Percentile: Top 8%
Sex and Gender in Healthcare
3.76
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Exploring Gender Bias in AI for Personalized Medicine: Focus Group Study With Trans Community Members — Davide Cirillo, Nataly Buslón, et al. · Journal of Medical Internet Research (2025) | TGRS Research Map | TGRS