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

Year 2025, Volume: 11 Issue: 2, 148 - 155, 30.08.2025

Dilara Onan , Halime Arıkan

https://doi.org/10.30569/adiyamansaglik.1635840

Abstract

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.

Keywords

Yapay zeka , Boyun ağrısı , Egzersiz , Fizyoterapi

Ethical Statement

No human data were evaluated or treated in this study. Therefore, ethical approval was not required for this study.

Supporting Institution

This research did not receive financial support from any institution or individual.

Thanks

We thank the physiotherapists who rated the accuracy and expression of the exercises in the study.

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

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.

Keywords

Artifical intelligence , Neck pain , Exercise , Physiotherapy

Ethical Statement

No human data were evaluated or treated in this study. Therefore, ethical approval was not required for this study.

Supporting Institution

This research did not receive financial support from any institution or individual.

Thanks

We thank the physiotherapists who rated the accuracy and expression of the exercises in the study.

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