AI systems in smartphones may help detect eye diseases: study
A new study published in the European Journal of Ophthalmology has shown that an AI system based on smartphones can accurately detect major eye diseases such as diabetic retinopathy, age-related macular degeneration, and glaucoma. Conducted by doctors from the NIO Super Specialty Hospital in Pune, the study involved 193 adults aged 18 and above with DR, glaucoma, AMD, or healthy fundus, resulting in exams of 371 eyes.
Utilizing a Remidio Fundus on Phone (FoP) platform with Medios AI multi-disease software, the study achieved impressive diagnostic accuracy: for glaucoma, sensitivity was 98.2% and specificity 99.0%; for AMD, sensitivity was 88.9% and specificity 97.5%; for DR, sensitivity was 84.6% and specificity 99.0%. The offline AI system, approved by the Central Drugs Standard Control Organisation, performed well in a resource-limited setting, indicating potential for scalable point-of-care retinal screening.
Written by urgent.news from The Hindu Health's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
