ClinicalTrials.gov
public full text
Public Domain
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.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Comparing Conservative Therapies for the Alleviation of Knee Pain in Knee Osteoarthritis#1172115
- Is Low-load Resistance Training With Blood Flow Restriction More Effective Than Traditional Rehabilitation of Military Personnel With Lower Limb Injuries#875431
- Effectiveness of tele-rehabilitation using AI-guided exercise and pain neuroscience education for fibromyalgia (FIBROIA): Protocol for a randomized controlled trial.#223093
- Artificial Intelligence in Speech and Language Therapy: A Qualitative Comparative Analysis of Clinical Applications and Outcomes.#145903
- Personalized Exercise Recommendations for Chronic Pelvic Pain Using Reinforcement Learning#995645
Record · ID 894429
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive