TY  - JOUR
T1  - The Use of Artificial Intelligence in Physiotherapy, Advantages and Disadvantages: Literature Review
TT  - Yapay Zekânın Fizyoterapide Kullanımı, Avantajlar ve Dezavantajlar: Literatür İncelemesi
AU  - Ceylan, Ali
PY  - 2026
DA  - April
Y2  - 2026
DO  - 10.38079/igusabder.1598673
JF  - Istanbul Gelisim University Journal of Health Sciences
JO  - IGUSABDER
PB  - İstanbul Gelisim University
WT  - DergiPark
SN  - 2536-4499
SP  - 361
EP  - 377
IS  - 28
LA  - en
AB  - 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.
KW  - Artificial intelligence
KW  - awareness
KW  - physiotherapy and rehabilitation
KW  - advantages
KW  - disadvantages
N2  - Yapay zekâ (YZ), insan zekasının üstesinden gelemediği sorunlara çözüm üreten teknoloji, bilgisayar ve makine öğrenimi tabanlı sistemler olarak bilinmektedir. Savunma sanayi, fen ve mühendislik bilimi dışında sağlık bilimlerinin farklı alanlarında da YZ kullanımı giderek yaygınlaşmaktadır. Ortopediden nörolojiye, radyolojiden kardiyolojiye, endokrinolojiden fizyoterapiye kadar birçok sağlık alanında YZ ile ilgili bilimsel çalışmalar yapılmaktadır. Giyilebilir cihazlar, robotlar, sanal gerçeklik ile oluşturulan sistemler, mobil uygulamalar, özel geliştirilmiş tasarımlar, yürüme analiz sistemleri, tele-rehabilitasyon gibi web tabanlı sistemler fizyoterapi hizmetlerinde tedavi ve tanı, değerlendirme, hasta bakımı ve takibinde yaygın olarak kullanılan YZ destekli teknolojilerdir. Faydalarına rağmen, YZ'nin bazı dezavantajları da vardır. Bu dezavantajlar, ülkemizde YZ konusunda nitelikli çalışmaların yetersizliğinde önemli bir unsurdur. Yapay zekâ alanında nitelikli personel sayısının artırılması, sektöre daha fazla kaynak ayrılması, müfredatın gelişen teknolojiye göre yenilenmesi, bilişim sistemleri ile sağlık hizmetlerinin entegrasyonunun YZ konusunda farkındalığı artıracağına inanıyoruz. Yapay zekaya yönelik karşılaşılan zorlukların ortadan kalkması ile fizyoterapi ve rehabilitasyon hizmetlerinin sunumunda YZ destekli teknolojilerin yaygınlaşacağını ve nitelikli araştırmaların artacağını düşünüyoruz.
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UR  - https://doi.org/10.38079/igusabder.1598673
L1  - https://dergipark.org.tr/en/download/article-file/4427595
ER  -