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

• Published in: Journal of medical Internet research Vol. 27; no. 6; p. e67830
• Main Authors: Du, Kai, Li, Ao, Zuo, Qi-Heng, Zhang, Chen-Yu, Guo, Ren, Chen, Ping, Du, Wei-Shuai, Li, Shu-Ming
• Format: Journal Article
• Language: English
• Published: Canada Journal of Medical Internet Research 07.05.2025; Gunther Eysenbach MD MPH, Associate Professor; JMIR Publications
• Subjects: Academic guidance counseling; Accuracy; Aged; Analysis; Artificial; Artificial intelligence; Candidates; Care and treatment; Chatbots; Chronic illnesses; Clinical decision making; Clinical medicine; Clinical research; Content creation; Customization; Delineation; Disease; Disease management; Double-Blind Method; Efficiency; Evidence-based medicine; Female; Generative Artificial Intelligence; Health education; Health information; Health literacy; Humans; Knee; Language; Large language models; Male; Medical history; Middle Aged; Misinformation; Mobility; Natural language; Original Paper; Orthopedics; Osteoarthritis; Osteoarthritis, Knee - therapy; Oversight; Patient compliance; Patient education; Patient Education as Topic - methods; Performance evaluation; Precision Medicine; Privacy; Quality of life; Readability; Safeguards; Safety; Self-Management; Selfmanagement; Transparency; LLMs; osteoarthritis; orthopedics; self-management; artificial intelligence; observational study; personalized medicine; knee; ChatGPT; knee osteoarthritis; patient education; large language models; GPT-4; artificial intelligence in health care; AI-generated

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 n...