Using artificial intelligence for exercise prescription in personalised health promotion: A critical evaluation of OpenAI’s GPT-4 model

Ismail Dergaa, Helmi Ben Saad, Abdelfatteh El Omri, Jordan M. Glenn, Cain C.T. Clark, Jad Adrian Washif, Noomen Guelmami, Omar Hammouda, Ramzi A. Al-Horani, Luis Felipe Reynoso-Sánchez, Mohamed Romdhani, Laisa Liane Paineiras-Domingos, Rodrigo L. Vancini, Morteza Taheri, Leonardo Jose Mataruna-Dos-Santos, Khaled Trabelsi, Hamdi Chtourou, Makram Zghibi, Özgür Eken, Sarya SwedMohamed Ben Aissa, Hossam H. Shawki, Hesham R. El-Seedi, Iñigo Mujika, Stephen Seiler, Piotr Zmijewski, David B. Pyne, Beat Knechtle, Irfan M. Asif, Jonathan A. Drezner, Øyvind Sandbakk, Karim Chamari

Primary Health Care Corporation
University of Sfax
High Institute of Sport and Physical Education of Kef
University of Sousse
Hamad Medical Corporation
Neurotrack Technologies
Coventry University
National Sports Institute of Malaysia
University of Genoa
Université Paris Nanterre
University of Sfax
Yarmouk University
Autonomous University of Occident
Universidade Federal da Bahia
Universidade Federal do Espírito Santo
University of Tehran
Canadian University Dubai
Inonu University
University of Aleppo
Nagoya City University
Islamic University of Madinah
Jiangsu University
University of the Basque Country
Universidad Finis Terrae
University of Agder
Jozef Pilsudski University of Physical Education in Warsaw
University of Canberra
University of Zurich
University of Alabama at Birmingham
University of Washington
Norwegian University of Science and Technology
Higher Institute of Sport and Physical Education of Ksar-Saïd

Research output: Contribution to journal › Article › peer-review

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Using artificial intelligence for exercise prescription in personalised health promotion: A critical evaluation of OpenAI’s GPT-4 model

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