Evaluation of artificial intelligence-based telemedicine screening for retinopathy of prematurity

Artificial Intelligence to Reduce Ocular Health Disparities: Moving From Concept to Implementation

“…Emerging proof-of-concept data in real-world populations indicate that AI-assisted ROP image screening may be effective, such as the i-ROP DL algorithm; however, there are no commercially available products. 47 Moreover, most of the papers evaluating AI in ROP have used images from a camera that costs more than US$100,000. Future work must be done to validate the efficacy and effectiveness of using lower cost cameras in populations of babies from low- and middle-income countries.…”

Bringing Ophthalmic Graduate Medical Education into the 2020s with Information Technology

“…Multidisciplinary care: With the expansion of AI as a screening tool for diseases such as diabetic retinopathy and retinopathy of prematurity, ophthalmologists will be collaborating with nonophthalmic providers, which will require all providers to be able to communicate effectively with their patients and colleagues how AI can be used to enhance decision making. 20,42 Providers can realize the full benefit of new technologies when systems of care are developed that integrate AI to optimize coordination among providers, payers, and patients.…”

Translational Research in Retinopathy of Prematurity: From Bedside to Bench and Back Again

“…Although various studies have been conducted from a clinical perspective to prevent blindness caused by ROP, including the identification of risk factors, development of predictive models, and diagnosis of the disease stage with artificial intelligence [ 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 ], this review will focus on the translational research that has progressed from basic research to clinical trials.…”