
Diabetes induced blindness: AI detection shows clinical promise
Diabetes induced blindness: AI detection shows clinical promise
The researchers confirmed that the sensitivity and specificity of the screening tool is over 90%
An artificial intelligence (AI)-based diagnostic tool developed by Google and researchers in India, for detecting diabetic retinopathy (DR), is showing clinical promise in the Indian setting, according to Rajiv Raman, a senior consultant at Chennais Sankara Nethralaya, one of the countrys leading eye hospitals.
Both Sankara Nethralaya and Aravind Eye Hospital in Madurai are working with 2,000 patients each to validate the AI diagnostic tool in a clinical setting. Dr Raman confirmed that the sensitivity and specificity of the screening are over 90%. The higher a tests sensitivity, the higher the probability it will correctly identify a disease when it is present and the higher the tests specificity, the higher the chance it will correctly identify the absence of the disease in individuals who do not have it.
Aravind Eye Hospital is now in the process of incorporating the deep learning system in their telescreening program, Dr R. Kim, Chief Medical Officer of the hospital told The Hindu.
AI has been the buzzword in tech for some time now, and tech giants want poll position in this space. We are moving from a mobile-first world to an AI-first world, according to Google CEO, Sundar Pichai, and Google, for one, seems to want to be the go to company for AI, as it has become in the search engine market.
Advances in the consumer space have found utility in medicine that can be applied readily, Lily Peng, a doctor of
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