Comparing Artificial Intelligence-Generated and Clinician-Created Personalized Self-Management Guidance for Patients With Knee Osteoarthritis: Blinded Observational Study.

Journal: Journal of medical Internet research
PMID:

Abstract

BACKGROUND: Knee osteoarthritis is a prevalent, chronic musculoskeletal disorder that impairs mobility and quality of life. Personalized patient education aims to improve self-management and adherence; yet, its delivery is often limited by time constraints, clinician workload, and the heterogeneity of patient needs. Recent advances in large language models offer potential solutions. GPT-4 (OpenAI), distinguished by its long-context reasoning and adoption in clinical artificial intelligence research, emerged as a leading candidate for personalized health communication. However, its application in generating condition-specific educational guidance remains underexplored, and concerns about misinformation, personalization limits, and ethical oversight remain.

Authors

  • Kai Du
    Beijing University of Chinese Medicine, Beijing, China.
  • Ao Li
    Beijing University of Chinese Medicine, Beijing, China.
  • Qi-Heng Zuo
    Beijing University of Chinese Medicine, Beijing, China.
  • Chen-Yu Zhang
    Beijing University of Chinese Medicine, Beijing, China.
  • Ren Guo
    Beijing Hospital of Traditional Chinese Medicine, Beijing, China.
  • Ping Chen
    Department of Infectious Diseases, Renmin Hospital of Wuhan University, Wuhan 430060, China.
  • Wei-Shuai Du
    Beijing Hospital of Traditional Chinese Medicine, Beijing, China.
  • Shu-Ming Li
    Beijing Hospital of Traditional Chinese Medicine, Beijing, China.