ChatGPT and DeepSeek-Assisted Rehabilitation in Subacromial Pain
NCT07148687 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 75
Last updated 2026-02-27
Summary
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.
Conditions
- Subacromial Pain Syndrome
Interventions
- BEHAVIORAL
-
Conventional Exercise Program
Exercise protocol targeting subacromial pain syndrome, including shoulder mobility, strengthening, and posture correction exercises based on established clinical guidelines.
- BEHAVIORAL
-
ChatGPT-Guided Rehabilitation
AI-generated exercise recommendations from ChatGPT-4 tailored to the patient's profile and applied under physiotherapist supervision.
- BEHAVIORAL
-
DeepSeek-Guided Rehabilitation
Personalized rehabilitation exercises generated by DeepSeek-R1 and implemented under physiotherapist guidance.
Sponsors & Collaborators
-
Kirsehir Ahi Evran Universitesi
lead OTHER
Study Design
- Allocation
- RANDOMIZED
- Purpose
- TREATMENT
- Masking
- TRIPLE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Max Age
- 65 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2025-09-25
- Primary Completion
- 2025-12-01
- Completion
- 2025-12-20
Countries
- Turkey (Türkiye)
Study Locations
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