The application of artificial intelligence in diabetic retinopathy screening: a Saudi Arabian perspective.

Autor:	Barakat AA; College of Medicine, Alfaisal University, Riyadh, Saudi Arabia., Mobarak O; College of Medicine, Alfaisal University, Riyadh, Saudi Arabia., Javaid HA; College of Medicine, Alfaisal University, Riyadh, Saudi Arabia., Awad MR; College of Medicine, Alfaisal University, Riyadh, Saudi Arabia., Hamweyah K; College of Medicine, Alfaisal University, Riyadh, Saudi Arabia., Ouban A; College of Medicine, Alfaisal University, Riyadh, Saudi Arabia., Al-Hazzaa SAF; King Abdulaziz City for Science and Technology (KACST), Riyadh, Saudi Arabia.
Jazyk:	angličtina
Zdroj:	Frontiers in medicine [Front Med (Lausanne)] 2023 Nov 22; Vol. 10, pp. 1303300. Date of Electronic Publication: 2023 Nov 22 (Print Publication: 2023).
DOI:	10.3389/fmed.2023.1303300
Abstrakt:	Introduction: Diabetic retinopathy (DR) is the leading cause of preventable blindness in Saudi Arabia. With a prevalence of up to 40% of patients with diabetes, DR constitutes a significant public health burden on the country. Saudi Arabia has not yet established a national screening program for DR. Mounting evidence shows that Artificial intelligence (AI)-based DR screening programs are slowly becoming superior to traditional screening, with the COVID-19 pandemic accelerating research into this topic as well as changing the outlook of the public toward it. The main objective of this study is to evaluate the perception and acceptance of AI in DR screening among eye care professionals in Saudi Arabia. Methods: A cross-sectional study using a self-administered online-based questionnaire was distributed by email through the registry of the Saudi Commission For Health Specialties (SCFHS). 309 ophthalmologists and physicians involved in diabetic eye care in Saudi Arabia participated in the study. Data analysis was done by SPSS, and a value of p < 0.05 was considered significant for statistical purposes. Results: 54% of participants rated their level of AI knowledge as above average and 63% believed that AI and telemedicine are interchangeable. 66% believed that AI would decrease the workforce of physicians. 79% expected clinical efficiency to increase with AI. Around 50% of participants expected AI to be implemented in the next 5 years. Discussion: Most participants reported good knowledge about AI. Physicians with more clinical experience and those who used e-health apps in clinical practice regarded their AI knowledge as higher than their peers. Perceived knowledge was strongly related to acceptance of the benefits of AI-based DR screening. In general, there was a positive attitude toward AI-based DR screening. However, concerns related to the labor market and data confidentiality were evident. There should be further education and awareness about the topic. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2023 Barakat, Mobarak, Javaid, Awad, Hamweyah, Ouban and Al-Hazzaa.)
Databáze:	MEDLINE
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