| Makale Türü |
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| 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 |
| Atıf Sayıları | |
| Google Scholar | 12 |
| Scopus | 6 |
| Dergi Adı | JOURNAL OF MEDICAL SYSTEMS |
| Yayıncı | Springer |
| Açık Erişim | Hayır |
| ISSN | 0148-5598 |
| E-ISSN | 1573-689X |
| CiteScore | 8,9 |
| SJR | 0,962 |
| SNIP | 1,523 |