Abstract: The purpose of this paper is to consider information concerning the influence of AI in pediatric ophthalmology (retinopathy- ROP) in newborns. Retinopathy of prematurity (ROP) is a disorder that affects the eyes of premature babies weighing 1250 grams or less born before 31 weeks. A baby born between 39 to 40 weeks is considered a full-term pregnancy. Early diagnosis and suitable medication for eye diseases are of great impact to avoid visual loss. Conventional diagnosis methods depend on Ophthalmologist experience and knowledge. The number of ophthalmologists who are skilled to undertake ROP diagnosing is slowly declining globally. So Artificial Intelligence-based ROP diagnosis arrangement is crucial and it looks to be a safe, dependable, and lucrative complement to the efforts of ROP specialists, proficient in increasing patient access to screening and focusing the resources of the current ophthalmic community on infants with the potentially vision-threatening disease. AI is emerging as a new factor in medical care. AI can positively impact the practice of medicine, whether it's through speeding up the pace of research or helping clinicians make better decisions. In the present pandemic, AI for pediatric ophthalmology applications can address the high demand, prioritize and triage patients, as well as improve at home-monitoring devices and secure data transfers which will help to speed up the screen and ease the workload of clinical resources.
Keywords: Pediatric Ophthalmology, Retinopathy of prematurity, Artificial Intelligence
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