Effect of Perception-based Interventions on Public Acceptance of Using Large Language Models in Medicine

Large language models (LLMs) show promise in medicine, but concerns about their accuracy, coherence, transparency, and ethics remain. To date, public perceptions on using LLMs in medicine and whether they play a role in the acceptability of health care applications of LLMs are not yet fully understood. This study aims to investigate public perceptions on using LLMs in medicine and if interventions for perceptions affect the acceptability of health care applications of LLMs.

NCT Number	NCT07304908
Lead Sponsor	Peking University Collaborators: Peking University Third Hospital
Conditions	Large Language Models, Acceptability of Health Care, Perception, Self
Enrollment	3,000 participants
Start Date	2025-11-25
Primary Completion	2026-10-31 (estimated)
Study Completion	2026-12-31 (estimated)
Updated on ClinicalTrials.gov	2025-12-26