Evaluating ChatGPT’s advice and recommendations regarding exercise for people with Inclusion Body Myositis

Katherine Schütze; Ruby Shehatha; Kelly Beer; Merrilee Needham; Tanya Smith; Matthew Bagg; Althea Doverty; Ian Cooper

doi:10.1016/j.nmd.2026.106418

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Evaluating ChatGPT’s advice and recommendations regarding exercise for people with Inclusion Body Myositis

Journal article

Open access

Peer reviewed

Evaluating ChatGPT’s advice and recommendations regarding exercise for people with Inclusion Body Myositis

Katherine Schütze, Ruby Shehatha, Kelly Beer, Merrilee Needham, Tanya Smith, Matthew Bagg, Althea Doverty and Ian Cooper

Neuromuscular disorders : NMD, Vol.62, 106418

2026

DOI: https://doi.org/10.1016/j.nmd.2026.106418

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Abstract

Inclusion Body Myositis

Exercise prescription

ChatGPT

Artificial intelligence

The use of Large Language Models for exercise prescription in the general population has been shown to be safe and effective but not comprehensive compared to that of physiotherapists. In rare disease groups, where experts are less accessible, Large Language Models such as ChatGPT may be well-placed to advise on exercise prescription. Inclusion body myositis, a rare, inflammatory myopathy of older people, is unique in both its affected muscle groups and in recommended resistance exercise regimens. This study aimed to determine the accuracy, safety and appropriateness of advice provided by ChatGPT to six questions relating to muscle involvement, resistance exercises and strategies to reduce falls. ChatGPT’s responses were reviewed by 12 physiotherapists experienced in inclusion body myositis management. Responses were rated on a five-point rubric ranging from “comprehensive and accurate” to “wrong and unsafe.” Responses were judged safe and mostly accurate in five of the six domains. Mostly, ChatGPT was safe and accurate, but at times lacked comprehensiveness. In some areas, however, ChatGPT performed very well, and there is significant potential for its use as a tool to aid exercise prescription in this population.

Details

Title: Evaluating ChatGPT’s advice and recommendations regarding exercise for people with Inclusion Body Myositis
Authors/Creators: Katherine Schütze - Sir Charles Gairdner Hospital
Ruby Shehatha - Perron Institute for Neurological and Translational Science
Kelly Beer - Perron Institute for Neurological and Translational Science
Merrilee Needham - Murdoch University
Tanya Smith - Perron Institute for Neurological and Translational Science
Matthew Bagg - Neuroscience Research Australia
Althea Doverty - Perron Institute for Neurological and Translational Science
Ian Cooper - Murdoch University
Publication Details: Neuromuscular disorders : NMD, Vol.62, 106418
Publisher: Elsevier B.V.
Number of pages: 7
Identifiers: 991005875443307891
Murdoch Affiliation: Health Futures Institute; Personalised Medicine Centre
Language: English
Resource Type: Journal article

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