Accessibility settings

This paper is in the following e-collection/theme issue:

Research Letter (257) Artificial Intelligence (5039) Data Science (727) Vulnerable Populations in Health Research (366) Big Data for Health Promotion and Health Equity (77) Generative Language Models Including ChatGPT (1646)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://www.medrxiv.org/content/10.1101/2025.08.05.25333007v1, first published .
Laptop displaying a funnel graphic filtering colorful abstract shapes, symbolizing data processing.

Evaluating the Potential of Reasoning Large Language Models to Perpetuate Racial and Gender Disease Stereotypes in Health Care

Evaluating the Potential of Reasoning Large Language Models to Perpetuate Racial and Gender Disease Stereotypes in Health Care

Authors of this article:

Joshua J Docking1 Author Orcid Image ;   Lee X Li1 Author Orcid Image ;   Bradley D Menz1 Author Orcid Image ;   Stephen Bacchi2 Author Orcid Image ;   Ashley M Hopkins1 Author Orcid Image ;   Michael J Sorich1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Thamm C, Button E, Agbejule O, Knowles R, van Gorp K, Pinkham M, Krishnasamy M, McCarthy A, Chan R. From Ambition to Action: Closing Policy, Equity and Implementation Gaps in the Australian Cancer Plan's ‘Enhanced Consumer Experience’. Medical Journal of Australia 2026;224(10) View