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.
Authors
- Davide Cirillo (ORCID: https://orcid.org/0000-0003-4982-4716)
- Nataly Buslón (ORCID: https://orcid.org/0000-0002-3722-285X)
- Oriol Ríos (ORCID: https://orcid.org/0000-0003-3675-9919)
- S. Perera del Rosario (ORCID: https://orcid.org/0000-0001-8142-3125)
Institutions
- 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)
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