Using AI and Social Media to Understand Health Disparities for Transgender Cancer Care

Augustine Annan; Yeran Li; Jingcheng Du; Yezhou Sun; A I Asante-Facey; Xiaoyan Wang; Matthew Monberg

doi:10.1001/jamanetworkopen.2024.29792

Using AI and Social Media to Understand Health Disparities for Transgender Cancer Care

JAMA Netw Open. 2024 Aug 1;7(8):e2429792. doi: 10.1001/jamanetworkopen.2024.29792.

Authors

Augustine Annan¹, Yeran Li², Jingcheng Du¹, Yezhou Sun², A I Asante-Facey³, Xiaoyan Wang¹, Matthew Monberg²

Affiliations

¹ IMO Health, Rosemont, Illinois.
² Center for Observational and Real-World Evidence, Merck and Co, Inc, Rahway, New Jersey.
³ Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Lenox Hill Hospital, New York, New York.

No abstract available

Plain language summary

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.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Artificial Intelligence
Female
Healthcare Disparities*
Humans
Male
Neoplasms* / therapy
Social Media* / statistics & numerical data
Transgender Persons* / psychology
Transgender Persons* / statistics & numerical data