The Role of Artificial Intelligence Large Language Models in Personalized Rehabilitation Programs for Knee Osteoarthritis: An Observational Study
 
Yazarlar (4)
Öğr. Gör. Ömer Alperen GÜRSES Kırşehir Ahi Evran Üniversitesi, Türkiye
Doç. Dr. Anıl ÖZÜDOĞRU Kırşehir Ahi Evran Üniversitesi, Türkiye
Prof. Dr. Figen TUNCAY Kırşehir Ahi Evran Üniversitesi, Türkiye
Doç. Dr. Caner KARARTI Kırşehir Ahi Evran Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Journal of Medical Systems (Q1)
Dergi ISSN 0148-5598 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili Türkçe Basım Tarihi 01-2025
Kabul Tarihi 12-04-2026 Yayınlanma Tarihi
Cilt / Sayı / Sayfa 49 / 1 / 73–0 DOI 10.1007/s10916-025-02207
Makale Linki https://pmc.ncbi.nlm.nih.gov/articles/PMC12134017/
Özet
BackgroundLarge language models (LLMs) can contribute to treatment options and outcomes by assisting physiotherapists for conditions like osteoarthritis.AimsThe objective of this early-stage cross-sectional study is to assess the alignment of large language models with physiotherapists in designing physiotherapy and rehabilitation programs for knee osteoarthritis.MethodsForty patients diagnosed with knee osteoarthritis were assessed using standardized clinical criteria. For each patient, individualized rehabilitation programs were created by three physiotherapists and by ChatGPT-4o and Gemini Advanced using structured prompts. The presence or absence of 50 clinically relevant rehabilitation parameters was recorded for each program. Chi-square tests were used to evaluate agreement rates between the LLMs and the physiotherapist-generated Consensus programs.ResultsChatGPT-4o achieved a 74 …
Anahtar Kelimeler
Artificial intelligence | Knee osteoarthritis | Large language models | Physiotherapy | Rehabilitation program