Using AI and Social Media to Understand Health Disparities for Transgender Cancer Care
This qualitative study used an artificial intelligence (AI) large language model and social media to investigate challenges encountered by transgender individuals during breast and gynecological cancer care.
Authors
- Matthew Monberg (ORCID: https://orcid.org/0009-0006-7462-4782)
- Augustine Annan (ORCID: https://orcid.org/0000-0002-2696-6765)
- Yeran Li (ORCID: https://orcid.org/0000-0002-9777-7152)
- Jingcheng Du (ORCID: https://orcid.org/0000-0002-0322-4566)
- Xiaoyan Wang (ORCID: https://orcid.org/0000-0002-5140-676X)
- Yezhou Sun
- Al Asante-Facey
Institutions
- Merck & Co., Inc., Rahway, NJ, USA (United States) (US)
- Lenox Hill Hospital (US)
Publication Details
- Journal
- JAMA Network Open
- Published
- 2024-08-23
- DOI
- https://doi.org/10.1001/jamanetworkopen.2024.29792
- Citations
- 3
- Primary Topic
- LGBTQ Health, Identity, and Policy
- Type
- article
- Field-Weighted Citation Impact
- 1.93
Funders
- Merck Sharp and Dohme