北方邦
计算机科学
验光服务
人工智能
工程类
医学
社会经济学
社会学
作者
Madhavi Devaraj,Vasanthakumar Namasivayam,Satya Swarup Srichandan,Eshan Sharma,Apjit Kau,Nibha Mishra,Dev Vimal Seth,Akanksha Singh,Pankaj Saxena,Eshaan Vasanthakumar,James P. Blanchard,Ravi Prakash
标识
DOI:10.1016/j.apjo.2024.100094
摘要
Uttar Pradesh (UP), the most populous state in India, has about 36 million people aged 50 years or older, spread across more than 100,000 villages. Among them, an estimated 3.5 million suffer from visual impairments, including blindness due to untreated cataracts. To achieve cataract backlog-free status, UP is required to screen this population at the community level and provide treatment to those suffering from cataracts. We envisioned an AI-powered primary screening app utilizing eye images, deployable to frontline health workers for community-level screening. This paper outlines insights gained from developing the AI mobile app "Roshni" for cataract screening.
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