Journal article
Artificial intelligence knowledge of evidence-based recommendations in gender affirmation surgery and gender identity: is ChatGPT aware of WPATH recommendations?
European journal of plastic surgery, v 46(6), pp 1169-1176
01 Dec 2023
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Background
Artificial intelligence (AI) is evolving rapidly as are its uses in healthcare and scientific literature. There are concerns about whether AI like ChatGPT has implicit biases. This study explores ChatGPT’s ability to reference evidence-based recommendations related to gender-affirming surgery (GAS).
Methods
ChatGPT was prompted using open-ended questions on GAS as well as the World Professional Association for Transgender Health Standards of Care (WPATH SOC) for the Health of Transgender and Gender Diverse People, Version 8’s statements of recommendations. Responses were analyzed based on agreement to and reference of WPATH SOC recommendations.
Results
A total of 95 WPATH statements of recommendations were given to the chatbot. There were 70 (74%) agreements, 0 (0%) disagreements, and 25 (26%) neutral responses. WPATH was directly referenced in 12 (13%) responses. ChatGPT was successful in describing aspects of gender diversity, including the treatment of gender dysphoria.
Conclusions
While often using neutral language, ChatGPT does intermittently reference WPATH and its evidence-based recommendations. As AI evolves, so can the spread of misinformation if it is not rooted in evidence-based recommendations. Furthermore, AI may serve as a viable tool for patient education on GAS.
Level of evidence: Not gradable
Metrics
Details
- Title
- Artificial intelligence knowledge of evidence-based recommendations in gender affirmation surgery and gender identity: is ChatGPT aware of WPATH recommendations?
- Creators
- Daniel Najafali - Illinois CollegeChandler Hinson - University of South AlabamaJustin M. Camacho - Drexel University, College of MedicineLogan G. Galbraith - Northeast Ohio Medical UniversityTannon L. Tople - University of MinnesotaDanielle Eble - University of WashingtonBrielle Weinstein - Rush University Medical CenterLoren S. Schechter - Rush University Medical CenterAmir H. Dorafshar - Rush University Medical CenterShane D. Morrison - University of Washington Medical Center
- Publication Details
- European journal of plastic surgery, v 46(6), pp 1169-1176
- Publisher
- Springer Berlin Heidelberg
- Number of pages
- 8
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- College of Medicine
- Web of Science ID
- WOS:001066414600001
- Scopus ID
- 2-s2.0-85171455177
- Other Identifier
- 991021861276204721
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InCites Highlights
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Surgery