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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.
RESUMO
Background: Since the initial emergence of the novel SARS-CoV-2 coronavirus responsible for the 2019 coronavirus disease (COVID-19) pandemic, many studies have been exploring the nature and characteristics of this virus and its associated clinical manifestations. The present study aimed to describe the clinical presentation and outcomes of COVID-19 infections in pediatric patients. Methods: A retrospective review of findings associated with 143 pediatric patients (age <14 years) with a confirmed COVID-19 diagnosis who had undergone inpatient or outpatient treatment at King Faisal Specialist Hospital and Research Center in Riyadh, Saudi Arabia, between March 2020 and October 2020, was conducted. The analyzed data included patient demographic information, pre-existing medical conditions, symptoms, interventions, and outcomes. Results: The median age of this patient population was 7 years. Of these 143 patients, 67 (46.8%) had known pre-existing medical conditions including bronchial asthma (12.8%), chronic lung disease (CLD) (3%), congenital heart disease (CHD) (17%), primary immunodeficiencies (1.5%), malignancies (9.8%), and 7.5% were post-transplant patients. Thirty-seven patients (26%) were overweight or obese. Sixty-three of these patients (51%) were symptomatic, with the most common symptom being fever (55%). Ultimately, 45 patients (31%) required admission to the hospital, with a median duration of hospitalization of 9.6 days for admitted patients. There were no documented cases of infection-related mortality among this pediatric cohort, although 11 patients experienced post-infectious complications that primarily manifested as a loss of taste and smell. Conclusion: These findings suggest that pediatric COVID-19 patients tend to experience mild forms of the disease, without any significant differences in disease severity as a function of patient gender or immune status.
