Development and Preliminary Evaluation of an AI-Assisted Clinical Decision Support System for Personalized Musculo-Skeletal Pain Management in Integrative Nursing Practice
Şeyda Öztuna, Meryem Betos Koçak, Cihangir Işık · 2026
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Description
Şeyda Öztuna, Meryem Betos Koçak, and Cihangir Işık build an AI helper for nurses treating muscle and joint pain in a 2026 paper. Care in their integrative nursing setting leans on drug free methods, yet choices vary with each clinician's experience.
Records of 487 past patients trained models that predict who will improve and what the pain score will be after care. The models were built into a prototype tool. For each of three treatment options it shows the expected pain score and the chance of a real improvement, so the nurse can compare. A small pilot then ran the tool beside standard care with twenty one patients each, to test whether it fits daily workflow.
Catalog record
| CREATOR | Şeyda Öztuna, Meryem Betos Koçak, Cihangir Işık |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 76 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |