Clinical Trial

Large Linguistic Model for Clinical Reaoning of Physical Therapy Students

Recruiting Phase 2
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Record status
This record was last updated December 4, 2025 (before its estimated June 30, 2026 completion). Its status may not reflect the trial's current state.
Summary
Clinical reasoning is a fundamental skill for physical therapy students, enabling them to collect and interpret patient information to make accurate diagnoses and treatment decisions. Traditional training methods often limit students' exposure to a diverse range of clinical cases, which can restrict the development of these skills. The integration of Large Language Models (LLMs), such as ChatGPT, into physical therapy education offers a novel approach to enhance clinical reasoning by simulating interactive and realistic patient scenarios. This randomized controlled trial aims to evaluate the effectiveness of an LLM-based educational intervention in improving clinical reasoning skills in physical therapy students. The study will recruit a total of 200 third-year physiotherapy students from multiple university institutions. Participants will be randomly assigned to one of two groups: 1. Experimental Group - Students will receive LLM-based training, engaging with a conversational artificial intelligence model to solve clinical cases over an 8-week period. The model will provide real-time responses to their questions, allowing them to refine their diagnostic and treatment reasoning. 2. Control Group - Students will follow the standard curriculum, participating in conventional case-based learning and supervised clinical reasoning exercises without AI-based assistance. The primary outcome of the study is the improvement in clinical reasoning skills, assessed through standardized written case evaluations and structured practical examinations. Secondary outcomes include changes in digital competence, student engagement levels, overall satisfaction with the educational approach, and cost-effectiveness of the intervention. By assessing the impact of LLMs on clinical reasoning training, this study seeks to determine whether AI-driven educational tools can effectively complement traditional physiotherapy education and improve student preparedness for real-world clinical practice.
Protocol Amendment History 2 amendments
This ClinicalTrials.gov record has been amended 2 times since 2025-02-04; most recent amendment 2025-12-03.
Trial Details
NCT Number NCT06809634
Lead Sponsor Neuron, Spain
Conditions Healthy, Artificial Intelligence (AI)
Enrollment 60 participants
Start Date 2023-09-01
Primary Completion 2026-06-30 (estimated)
Study Completion 2026-07-30 (estimated)
Updated on ClinicalTrials.gov 2025-12-04