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Indian state Tamil Nadu uses AI to aid cataract detection

The Tamil Nadu e-Governance Agency (TNeGA) has developed an artificial intelligence (AI)-based mobile application, ePaarwai, which can help screen a large number of people for cataracts. By addressing resource constraints in cataract detection, it aims to eradicate preventive blindness in the state.

India has about 4.7 million vision-impaired people, and about 66% of them lose their eyesight due to cataracts. Undiagnosed cataracts remain a huge problem especially in rural areas and among low-income settlements in urban areas, owing to the lack of trained professionals and other resources, a news report explained. The use of AI to fight cataracts is low when compared to other major age-related eye diseases, such as diabetic retinopathy, macular degeneration, and glaucoma.

The app can be used for the preliminary screening of the eye by analysing a picture of the patient’s eye. It can also help identify what stage of cataract patients are in and whether or not they require surgery. ePaarwai is also designed to detect macular disintegration.

Diagnostic eye-care AI-based systems are trained with many pictures of the eye, following which the algorithms learn the difference between normal and abnormal images. Early diagnosis and treatment can prevent or minimise vision loss or impairment. The results of ePaarwai from field trials were encouraging. The app has the potential to prevent millions of senior citizens in rural and urban low-income settlements from losing their eyesight.

Launched with the help of the Tamil Nadu State Blind Control Society (TNSBCS), and for the state health department, the app is being tested in a few districts. Currently, TNSBCS does not have enough manpower to help detect the stages of surgery and is looking to tap AI, Santosh Mishra, the Chief Executive Officer of TNeGA, told reporters. There are only about 20,000 ophthalmologists for the 1.3 billion people in India.

AI is expected to relieve the overburdened healthcare system, augment scarce personnel and lab facilities, and help overcome accessibility barriers. It can aid early detection, diagnosis, decision-making, and treatment. The healthcare sector in India remains multi-layered and complex and is ripe for disruption from emerging technologies at multiple levels. It is probably the most intuitive and obvious use case primed for intervention by AI-driven solutions, as evidenced by the increasing activity from large corporates and start-ups in developing AI-focused healthcare solutions.

The country’s think tank, the National Institution for Transforming India (NITI Aayog), in its 2018 report on AI, noted that the healthcare market globally driven by AI is expected to register an explosive CAGR of 40% through 2021 and reach US$6.6 billion this year. The advances in technology and interest from innovators provide an opportunity for India to solve some of its long-existing challenges in providing appropriate healthcare to a large section of its population. AI, robotics, and the Internet of Medical Things (IoMT) could potentially be the new nervous system for healthcare and present solutions to address healthcare problems.

In India’s budget for the fiscal year that begins 1 April and ends 31 March 2022, the Finance Minister proposed more than doubling India’s healthcare and wellbeing spending to IN₹2.2 trillion (US$30.1 billion). It includes a new federal scheme to develop the country’s capacity for primary, secondary, and tertiary care as well as to strengthen national institutions and create new ones to detect and cure diseases.


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