Work

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

Year: 2024

Type: article

Abstract: 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.

Source: JAMA Network Open

DOI: 10.1001/jamanetworkopen.2024.29792

Authors: Augustine Annan, Yeran Li, Jingcheng Du, Yezhou Sun, Al Asante-Facey, Xiaoyan Wang, Matthew Monberg

Institutions: Merck & Co., Inc., Rahway, NJ, USA (United States), Lenox Hill Hospital

Language: English

Topic: LGBTQ Health, Identity, and Policy

Subfield: Social Psychology

Field: Psychology

Domain: Social Sciences

SDGs: Good health and well-being, Reduced inequalities

Open Access status: gold

Estimated APC paid: $3,000

Funder: Merck Sharp and Dohme

OpenAlex ID: W4401812469

FWCI: 1.925

Cites: 7

Cited by: 4

Related to: 10