The Use of Artificial Intelligence in Physiotherapy, Advantages and Disadvantages: Literature Review
Öz
Artificial intelligence (AI) is known as technology, computer, and machine learning based systems that produce solutions to problems that human intelligence cannot overcome. Apart from the military industry, science, and engineering, it is seen that the use of AI in different fields of health sciences is becoming increasingly widespread. There are scientific studies on AI in many health fields from orthopedics to neurology, radiology to cardiology, endocrinology to physiotherapy. Web-based systems such as wearable devices, robots, systems created with virtual reality, mobile applications, specially developed designs, gait analysis systems, tele-rehabilitation are AI-supported technologies widely used in physiotherapy services in treatment and diagnosis, evaluation, patient care and follow-up. Despite its benefits, there are also some disadvantages of AI. We think that these disadvantages are the most important reasons why qualified studies on AI in our country have not reached the required level. We believe that increasing the number of qualified personnel in the field of artificial intelligence, allocating more resources to the sector, revising the curriculum according to the developing technology, integration of information systems and health services will increase awareness of AI. We think that with the elimination of the difficulties encountered towards AI, AI-supported technologies will become widespread in the provision of physiotherapy and rehabilitation services and qualified research will increase.
Anahtar Kelimeler
Kaynakça
- 1. Li X, Dunn J, Salins D, et al. Digital health: tracking physiomes and activity using wearable biosensors reveals useful health-related information. PLoS Bio. 2017;15(1):e2001402.
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Ayrıntılar
Birincil Dil
İngilizce
Konular
Antrenman, Engelliler için Beden Eğitimi, Spor ve Fiziksel Aktivite, Fiziksel Aktivite ve Sağlık
Bölüm
Derleme
Yazarlar
Ali Ceylan
*
0000-0001-7440-6714
Türkiye
Erken Görünüm Tarihi
29 Nisan 2026
Yayımlanma Tarihi
29 Nisan 2026
Gönderilme Tarihi
9 Aralık 2024
Kabul Tarihi
11 Mart 2026
Yayımlandığı Sayı
Yıl 2026 Sayı: 28