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Journals / Adıyaman Üniversitesi Sağlık Bilimleri Dergisi / 2026 / Cilt: 11 Sayı: 2

Assessment of exercise accuracy and explanation with artificial intelligence: A study on cervical exercises for nonspecific neck pain

Yapay zeka ile egzersiz doğruluğu ve anlatımının değerlendirilmesi: Spesifik olmayan boyun ağrısında servikal egzersizler üzerine bir çalışma

Dilara Onan(Bozok University)0000-0001-9505-6135
Halime Arıkan(TOKAT GAZİOSMANPAŞA ÜNİVERSİTESİ)0000-0003-2381-9978
Pages
148–155
Publication Date
2025-08-30
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AI Summary & Key Takeaways

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

Future research should focus on integration of artificial intelligence collaboration with developers and healthcare professionals.

📌 3 Key Takeaways

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Objective & Hypothesis:Aim: This study evaluated the accuracy and explanation of ChatGPT 4.0 in providing cervical exercise instructions to individuals with nonspecific neck pain.
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Key Findings & Data:Materials and Methods: The study was conducted between October 2024 and January 2025.
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Conclusion & Impact:Future research should focus on integration of artificial intelligence collaboration with developers and healthcare professionals.
🔬Design:Review & Systematic Survey
📍Scope:2024 Verileri
⚙️Variables:Yapay zeka · Boyun ağrısı · Egzersiz

Abstract

Aim: This study evaluated the accuracy and explanation of ChatGPT 4.0 in providing cervical exercise instructions to individuals with nonspecific neck pain. Materials and Methods: The study was conducted between October 2024 and January 2025. Frequently recommended cervical exercises were selected through a literature review. ChatGPT 4.0 was asked to explain these exercises in different positions. Accuracy and explanation quality were assessed using the Learning Objective Review Tool by an expert team. Statistical analysis was performed using JASP software to calculate means and standard deviations for scores. Results: Craniocervical flexion exercises in the supine position had the highest accuracy score (3.65±0.518). However, explanation scores were lower, especially for exercises in standing and quadruped positions (1.5±0.535). Experts suggested corrections for clarity and detail. Conclusion: ChatGPT 4.0 shows promise for exercise recommendations, but accuracy and explanation need improvement. Future research should focus on integration of artificial intelligence collaboration with developers and healthcare professionals.

Özet

Amaç: Bu çalışmada, ChatGPT 4.0'ın spesifik olmayan boyun ağrısı olan bireylere servikal egzersiz talimatları vermedeki doğruluğu ve anlatımı değerlendirildi. Gereç ve Yöntem: Çalışma Ekim 2024 ile Ocak 2025 arasında yürütüldü. Sıklıkla önerilen servikal egzersizler, literatür taraması yoluyla seçildi. ChatGPT 4.0'dan bu egzersizleri farklı pozisyonlarda açıklaması istendi. Doğruluk ve anlatım kalitesi, uzman bir ekip tarafından Öğrenme Hedefi İnceleme Aracı kullanılarak değerlendirildi. Egzersiz puanları için ortalamaları ve standart sapmaları hesaplamak üzere istatistiksel analiz JASP yazılımı kullanılarak gerçekleştirildi. Bulgular: Sırtüstü pozisyonda kraniyoservikal fleksiyon egzersizleri en yüksek doğruluğa (3,65±0,518) sahipti. Ancak, özellikle ayakta ve dört ayak üzerinde yapılan egzersizler için anlatım puanları daha düşüktü (1,5±0,535). Uzmanlar doğruluğu ve anlaşılırlığı artırmak için düzeltmeler önerdiler. Sonuç: ChatGPT 4.0 egzersiz önerileri sağlama konusunda umut vadetmektedir. Ancak, egzersizlerin doğruluğu ve anlatımında iyileştirmelere ihtiyaç vardır. Gelecekteki araştırmalar, geliştiriciler ve sağlık profesyonelleriyle yapay zeka iş birliğinin entegrasyonuna odaklanmalıdır.

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Cite This Article

Onan, D., Arıkan, H. (2025). Assessment of exercise accuracy and explanation with artificial intelligence: A study on cervical exercises for nonspecific neck pain. Adıyaman Üniversitesi Sağlık Bilimleri Dergisi, Cilt: 11 Sayı: 2, 148–155. https://doi.org/10.30569/adiyamansaglik.1635840

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