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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Feb 7, 2025
Open Peer Review Period: Feb 7, 2025 - Apr 4, 2025
Date Accepted: May 14, 2025
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

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

Buslon Valdez N, Cirillo D, Rios O, Perera S

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

J Med Internet Res 2025;27:e72325

DOI: 10.2196/72325

PMID: 40729959

PMCID: 12307004

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Biases in Medicine and Artificial Intelligence: impact and inclusion of the trans people.

  • Nataly Buslon Valdez; 
  • Davide Cirillo; 
  • Oriol Rios; 
  • Simón Perera

ABSTRACT

This paper carried out a research study on the perception and use of artificial intelligence (AI) for personalized medicine in transgender people. We applied the communicative methodology whose distinctive aspect is the active involvement of end-users and stakeholders through an egalitarian dialogue acknowledging cultural intelligence. During the design of the data collection-instruments, particularly in the elaboration of questions, multiple prior meetings with representatives of the trans community were organised to adapt the documents and co-create the workflow. Through the implementation of three focus groups, different problems and challenges that occur in the application of AI in the development of the precision medicine were discussed with trans adult people. The results show main obstacles that the participating people identified as well as possible solutions and proposed improvements. The work seeks to promote quality of life from a trans-inclusive and multidisciplinary perspective in a little-explored field of study.


 Citation

Please cite as:

Buslon Valdez N, Cirillo D, Rios O, Perera S

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

J Med Internet Res 2025;27:e72325

DOI: 10.2196/72325

PMID: 40729959

PMCID: 12307004

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