IIIT Hyderabad, AIIMS Bibinagar med-tech AI hackathon, winners get Rs 5 lakh seed money, incubation aid
AIIMS, IIIT co-hosted a one-day AI hackathon for digitisation of medical diagnostics, patient care
All India Institute of Medical Sciences (AIIMS) at Bibinagar hosted an ‘AI for healthcare’ hackathon, in collaboration with the International Institute of Information Technology (IIIT) Hyderabad. The top five teams will be given a seed grant of Rs 5 lakh, along with tech and research support from IIITH. They will also get access to an incubation track for mentoring and market discovery.
AIIMS partnered with the Centre for Innovation and Entrepreneurship (CIE) at IIITH to provide participants with one-on-one mentorship, expert lectures, guided business pitch preparation, and “idea-refinement workshops”. The event featured two pathways - one for medical practitioners, and the other for med-tech researchers.
The hackathon at IIIT Hyderabad saw the top five finalists bring out AI-powered ideas for smart dental diagnostics, post-RCT dental canal defect detection using machine learning (ML) and computer vision (CV), portable dental scanner, patient care app, and surgical planning technologies.
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AI solutions for public health
Speaking about the med-tech AI hackathon, Satish Kathirisetti, entrepreneur and chief mentor for med-tech startups at CIE, said: “By empowering medical professionals to co-develop AI-driven solutions, we’re building a foundation for long-term impact in clinical practice and public health.”
Out of the 65 ideas received, 17 teams were shortlisted for the AI hackathon at AIIMS Bibinagar. Some of the participating teams and ideas are given below.
- NeoScreen AI: It is an AI-powered app for early extrahepatic biliary atresia (EHBA) detection. Built for rural India, it supports offline use.
- Jam Avinya: It develops a machine learning model for diagnosing facial asymmetry using individually facial photographs and radiographs.
- Snoozelad: It is a low-cost, portable vital signs monitor, with alerts designed for rural clinics to detect danger signs early and save lives.
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The med-tech AI event saw participation from doctors, medical faculty, researchers, and students. It focussed on building clinical tools, diagnostics, patient care, and new care delivery models, as per an official statement.
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