ArticleBMJ health & care informatics2024
Assessment of the information provided by ChatGPT regarding exercise for patients with type 2 diabetes: a pilot study.
Article in BMJ health & care informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Wearable equipment-based telemedical management via multiparameter monitoring on cardiovascular outcomes in elderly patients with chronic coronary heart disease: an open-labelled, randomised, controlled trial.BMJ health & care informatics · 2024Trial
- Article
- Evaluating large language models using the Type 2 Diabetes Health Education guideline: a comparative analysis of ChatGPT-4.1, Claude-4.0, DeepSeek-V3, and ERNIE Bot 4.5 Turbo.Frontiers in public health · 2026Article
- Assessing the information quality of AI-generated patient educational materials for diabetes: a scoping review.Frontiers in public health · 2026Article
- Evaluation of large language model-generated information in diabetes health patient education: a scoping review.Frontiers in public health · 2026Article
- Efficacy of ChatGPT in personalized glucose-lowering strategy development: a clinician-based comparative study.Frontiers in endocrinology · 2026Article
- Performance of several large language models when answering common patient questions about type 1 diabetes in children: accuracy, comprehensibility and practicality.BMC pediatrics · 2025Article
- Applications of large language models in cardiovascular disease: a systematic review.European heart journal. Digital health · 2025Review
- Healthcare providers' perceptions of artificial intelligence in diabetes care: A cross-sectional study in China.International journal of nursing sciences · 2025Article
- Evaluating the role of ChatGPT in rehabilitation medicine: a narrative review.Frontiers in digital health · 2025Review
- Blinded evaluation of GPT-4 and physician responses to patient inquiries across multiple specialties.Digital healthArticle
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Authors and funding
2 authors.
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Abstract
objectivesWe assessed the feasibility of ChatGPT for patients with type 2 diabetes seeking information about exercise.
methodsIn this pilot study, two physicians with expertise in diabetes care and rehabilitative treatment in Republic of Korea discussed and determined the 14 most asked questions on exercise for managing type 2 diabetes by patients in clinical practice. Each question was inputted into ChatGPT (V.4.0), and the answers from ChatGPT were assessed. The Likert scale was calculated for each category of validity (1-4), safety (1-4) and utility (1-4) based on position statements of the American Diabetes Association and American College of Sports Medicine.
resultsRegarding validity, 4 of 14 ChatGPT (28.6%) responses were scored as 3, indicating accurate but incomplete information. The other 10 responses (71.4%) were scored as 4, indicating complete accuracy with complete information. Safety and utility scored 4 (no danger and completely useful) for all 14 ChatGPT responses.
conclusionChatGPT can be used as supplementary educational material for diabetic exercise. However, users should be aware that ChatGPT may provide incomplete answers to some questions on exercise for type 2 diabetes.
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