Indian Start-ups Unveil AI Tools Aimed at Large-scale Health Screening

With smartphone penetration exceeding 700 million users and public health systems under pressure, AI tools that can screen large populations at low cost are increasingly being viewed as critical enablers of preventive care and timely intervention.

Indian Artificial Intelligence startups have unveiled a range of AI tools designed to expand large-scale health screening, improve early diagnosis, and support clinicians, reflecting a growing push to make healthcare more accessible and data-driven across the country.

India continues to face challenges in early disease detection, particularly in rural and underserved regions, where access to specialists and diagnostic infrastructure remains limited. With smartphone penetration exceeding 700 million users and public health systems under pressure, AI tools that can screen large populations at low cost are increasingly being viewed as critical enablers of preventive care and timely intervention.

One such initiative was presented by Logi.AI, which demonstrated how simple photographic inputs can be used for oral and eye health screening. “We screened 45 lakh people for oral health, and in partnership with the Indian Dental Association (IDA), individuals flagged during the scan were offered free follow-up check-ups with the nearest dentist. About one in six were found to need treatment,” said Priyanjit Ghosh of Logi.AI. The startup has also deployed AI-enabled eye screening in select states, helping older citizens receive timely cataract surgeries at government hospitals, addressing delays caused by the absence of routine testing.

Another innovation focused on non-invasive diagnostics came from Chrogene Arogyam. Founder Poongothai Ramaswamy unveiled a prototype AI tool for sickle-cell anaemia screening that analyses how skin on the finger responds to temperature changes. The device delivers results within minutes and could prove valuable in tribal and rural areas where laboratory testing facilities are scarce, potentially strengthening national screening programmes for genetic disorders.

AI applications in reproductive health were highlighted by Garbha.ai, which showcased an embryo assessment tool designed to assist clinicians in infertility treatment. Founder Bharani Kumar D. emphasised that the system is trained on Indian patient datasets, addressing concerns that imported AI models may not adequately reflect local biological and clinical variations.

Beyond diagnostics, AI tools are also being applied to early intervention and therapy. CognitiveBiotics presented an AI-powered communication platform for children with autism, already launched in the UK and Canada. “It can make the parent sleep in peace,” said Udaya Dintyala, underlining its potential impact on families and caregivers.

Other start-ups demonstrated AI tools for scan-based precision diagnosis and for accelerating drug discovery timelines.

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