Comparative performance of artificial ıntelligence models in physical medicine and rehabilitation board-level questions.

Journal: Revista da Associacao Medica Brasileira (1992)

Published Date: Jul 19, 2024

Abstract

OBJECTİVES: The aim of this study was to compare the performance of artificial intelligence models ChatGPT-3.5, ChatGPT-4, and Google Bard in answering Physical Medicine and Rehabilitation board-style questions, assessing their capabilities in medical education and potential clinical applications.

Authors

Ahmet Kıvanç Menekşeoğlu

University of Health Sciences, Kanuni Sultan Süleyman Education and Training Hospital, Department of Physical Medicine and Rehabilitation - İstanbul, Turkey.
Enes Efe İş

University of Health Sciences, Sisli Etfal Education and Training Hospital, Department of Physical Medicine and Rehabilitation - İstanbul, Turkey.

Keywords

Artificial Intelligence Clinical Competence Cross-Sectional Studies Educational Measurement Humans Physical and Rehabilitation Medicine Reproducibility of Results

External Resources

View on PubMed Access via DOI PubMed (39045939)

Comparative performance of artificial ıntelligence models in physical medicine and rehabilitation board-level questions.

Abstract

Authors

Keywords

External Resources

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