Feasibility of a Randomized Controlled Trial of Large AI-Based Linguistic Models for Clinical Reasoning Training of Physical Therapy Students: Pilot Randomized Parallel-Group Study

Clinical reasoning is a critical skill for physical therapists, involving the collection and interpretation of patient information to form accurate diagnoses. Traditional training often lacks the diversity of clinical cases necessary for students to develop these skills comprehensively. Large langua...

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Vydáno v:	JMIR formative research Ročník 9; s. e66126
Hlavní autoři:	Ferrer-Peña, Raúl, Di-Bonaventura, Silvia, Pérez-González, Alberto, Lerín-Calvo, Alfredo
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Canada JMIR Publications 23.07.2025
Témata:	Adult Artificial intelligence Artificial Intelligence (AI) in Medical Education Clinical decision making Clinical Reasoning Consent Curriculum e-Learning and Digital Medical Education Education Feasibility Studies Feedback Female Humans Hypotheses Large language models Linguistics - methods Male Medical research Original Paper Physical therapists Physical therapy Physical Therapy Specialty - education Pilot Projects Pilot Studies (Ehealth) Skills Students Theme Issue: ChatGPT and Generative Language Models in Medical Education Young Adult Spain effectiveness artificial intelligence-based physiotherapy pilot study implementation LLM artificial intelligence facilitator physical therapy education randomized controlled trial feasibility physical therapy student barriers linguistic model clinical reasoning critical skill physical therapy large language models
ISSN:	2561-326X, 2561-326X
On-line přístup:	Získat plný text
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