Journals / Turkish Journal of Kinesiology / 2026 / Volume: 11 Issue: 1

Examining the ability of artificial intelligence with ChatGPT-4.0 to create an exercise program: Case scenario examples "lumbar disc herniation, chronic migraine, and urge urinary incontinence"

Halime Arıkan(TOKAT GAZIOSMANPASA UNIVERSITY)0000-0003-2381-9978
İrem Can(Headache and Cognition Clinic of Aynur Ozge)0009-0001-1144-8121
Şahan Güven(Department of Orthopedics and Traumatology, Ankara City Hospital)0000-0001-5174-7970
Pages
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Publication Date
2025-02-28
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

These findings highlight ChatGPT-4.0’s inability to fully adapt programs to patient medical conditions, emphasizing the critical role of physical therapists in designing individualized exercise programs.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Artificial Intelligence (AI) is increasingly utilized in healthcare as wearable technology, virtual assistants, or to aid decision-making.
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Key Findings & Data:This study evaluates the feasibility, effectiveness, and limitations of AI-based ChatGPT-4.0 in developing 8-week exercise programs for cases with lumbar disc herniation (LDH), chronic migraine (CM), and urge urological incontinence (UUI).
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Conclusion & Impact:These findings highlight ChatGPT-4.0’s inability to fully adapt programs to patient medical conditions, emphasizing the critical role of physical therapists in designing individualized exercise programs.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Artificial intelligence · headache · incontinence

Abstract

Artificial Intelligence (AI) is increasingly utilized in healthcare as wearable technology, virtual assistants, or to aid decision-making. This study evaluates the feasibility, effectiveness, and limitations of AI-based ChatGPT-4.0 in developing 8-week exercise programs for cases with lumbar disc herniation (LDH), chronic migraine (CM), and urge urological incontinence (UUI). ChatGPT-4.0 was questioned about exercise frequency, intensity, type, duration, targeted muscles, repetitions, theraband strengths, perceived difficulty, and aerobic exercise recommendations. The answers given were evaluated by experts. Expert evaluations determined that ChatGPT-4.0 successfully created literature-based programs for LDH, CM, and UUI, including cervical, lumbar stabilization, and pelvic floor exercises. However, issues arose: theraband resistances and plank-like challenging exercises for LDH were introduced too early, potentially causing rapid progression. In CM, isometric exercises risk triggering attacks, and progression rates were accelerated in all cases. These findings highlight ChatGPT-4.0’s inability to fully adapt programs to patient medical conditions, emphasizing the critical role of physical therapists in designing individualized exercise programs.

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Cite This Article

Onan, D., Arıkan, H., Can, İ., Güven, Ş., Işıkay, L., Ozge, A. (2025). Examining the ability of artificial intelligence with ChatGPT-4.0 to create an exercise program: Case scenario examples "lumbar disc herniation, chronic migraine, and urge urinary incontinence". Turkish Journal of Kinesiology, Volume: 11 Issue: 1. https://doi.org/10.31459/turkjkin.1617953

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