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The Use of Artificial Intelligence in Physiotherapy, Advantages and Disadvantages: Literature Review

Sayı: 28 29 Nisan 2026
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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. 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.
  2. 2. Rghioui A, Lloret J, Harane M, et al. A smart glucose monitoring system for diabetic patient. Electronics. 2020;9(4):678. doi: 10.3390/electronics9040678.
  3. 3. Burnell K, George MJ, Jensen M, et al. Associations between adolescents’ daily digital technology use and sleep. Journal of Adolescent Health. 2022;70(3):450-456.
  4. 4. George MJ, Russell MA, Piontak JR, et al. Concurrent and subsequent associations between daily digital technology use and high‐risk adolescents’ mental health symptoms. Child Development. 2018;89(1):78-88.
  5. 5. Cascianelli S, Scialpi M, Amici S, et al. Role of artificial intelligence techniques (automatic classifiers) in molecular imaging modalities in neurodegenerative diseases. Curr Alzheimer Res. 2017;14(2):198-207. doi: 10.2174/1567205013666160620122926.
  6. 6. Gulshan V, Peng L, Coram M, et al. Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. JAMA. 2016;316(22):2402-2410. doi: 10.1001/jama.2016.17216.
  7. 7. Ekins S. The next era: deep learning in pharmaceutical research. Pharm Res. 2016;33(11):2594-2603. doi: 10.1007/s11095-016-2029-7.
  8. 8. Griebel L, Prokosch HU, Köpcke F, et al. A scoping review of cloud computing in healthcare. BMC Med Inform Decis Mak. 2015;15:1-16.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Antrenman, Engelliler için Beden Eğitimi, Spor ve Fiziksel Aktivite, Fiziksel Aktivite ve Sağlık

Bölüm

Derleme

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

Kaynak Göster

APA
Ceylan, A. (2026). The Use of Artificial Intelligence in Physiotherapy, Advantages and Disadvantages: Literature Review. Istanbul Gelisim University Journal of Health Sciences, 28, 361-377. https://doi.org/10.38079/igusabder.1598673
AMA
1.Ceylan A. The Use of Artificial Intelligence in Physiotherapy, Advantages and Disadvantages: Literature Review. IGUSABDER. 2026;(28):361-377. doi:10.38079/igusabder.1598673
Chicago
Ceylan, Ali. 2026. “The Use of Artificial Intelligence in Physiotherapy, Advantages and Disadvantages: Literature Review”. Istanbul Gelisim University Journal of Health Sciences, sy 28: 361-77. https://doi.org/10.38079/igusabder.1598673.
EndNote
Ceylan A (01 Nisan 2026) The Use of Artificial Intelligence in Physiotherapy, Advantages and Disadvantages: Literature Review. Istanbul Gelisim University Journal of Health Sciences 28 361–377.
IEEE
[1]A. Ceylan, “The Use of Artificial Intelligence in Physiotherapy, Advantages and Disadvantages: Literature Review”, IGUSABDER, sy 28, ss. 361–377, Nis. 2026, doi: 10.38079/igusabder.1598673.
ISNAD
Ceylan, Ali. “The Use of Artificial Intelligence in Physiotherapy, Advantages and Disadvantages: Literature Review”. Istanbul Gelisim University Journal of Health Sciences. 28 (01 Nisan 2026): 361-377. https://doi.org/10.38079/igusabder.1598673.
JAMA
1.Ceylan A. The Use of Artificial Intelligence in Physiotherapy, Advantages and Disadvantages: Literature Review. IGUSABDER. 2026;:361–377.
MLA
Ceylan, Ali. “The Use of Artificial Intelligence in Physiotherapy, Advantages and Disadvantages: Literature Review”. Istanbul Gelisim University Journal of Health Sciences, sy 28, Nisan 2026, ss. 361-77, doi:10.38079/igusabder.1598673.
Vancouver
1.Ali Ceylan. The Use of Artificial Intelligence in Physiotherapy, Advantages and Disadvantages: Literature Review. IGUSABDER. 01 Nisan 2026;(28):361-77. doi:10.38079/igusabder.1598673

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