ChatGPT and DeepSeek-Assisted Rehabilitation in Subacromial Pain

This study aims to evaluate the effects of rehabilitation programs supported by artificial intelligence-based large language models (LLMs), specifically ChatGPT and DeepSeek, in individuals with subacromial pain syndrome (SAPS). Participants will be randomly assigned to one of three groups: standard physiotherapy, standard physiotherapy plus ChatGPT-guided exercises, and standard physiotherapy plus DeepSeek-guided exercises. Outcomes including pain, disability, quality of life, muscle strength, and joint range of motion will be assessed before and after a 6-week intervention. The results will help determine whether AI-generated exercise recommendations can enhance clinical outcomes when combined with conventional physiotherapy.

NCT Number	NCT07148687
Lead Sponsor	Kirsehir Ahi Evran Universitesi
Conditions	Subacromial Pain Syndrome
Enrollment	75 participants
Start Date	2025-09-25
Primary Completion	2025-12-01 (estimated)
Study Completion	2025-12-20 (estimated)
Updated on ClinicalTrials.gov	2026-02-27