AI systems in smartphones may help detect eye diseases: study
A study published in the European Journal of Ophthalmology indicates that smartphone-based AI systems can accurately detect major eye diseases like glaucoma and diabetic retinopathy. The technology functions offline, making it a viable tool for retinal screening in resource-limited settings.
Why it matters
This innovation could democratize access to specialized eye care in remote or underserved areas where traditional diagnostic equipment is unavailable.
A new study published in the European Journal of Ophthalmology has found that a smartphone-based AI system demonstrated high accuracy in detecting major eye diseases including diabetic retinopathy (DR), age-related macular degeneration (AMD) and glaucoma, a press release said.
The study, ‘Smartphone-based offline AI for multi-disease retinal screening: Real-world accuracy’, was conducted by doctors from the NIO Super Specialty Hospital, Pune. In this prospective, cross-sectional study, 193 adults (371 eyes) aged 18 years and above with DR, glaucoma, AMD, or normal fundus (healthy back of the eye) were enrolled between May and December 2024.
The study involved the use of a Remidio Fundus on Phone (FoP) platform integrated with Medios AI multi-disease software, an offline AI system. The Medios AI system has received regulatory approval from the Central Drugs Standard Control Organisation for clinical use. This platform functions entirely offline.
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