NHM Arunachal Pradesh Joins Hands with Wadhwani AI to Drive Responsible AI in Public Health Delivery

As part of the MoU, Wadhwani AI will act as the technical partner, supporting the integration of AI tools aligned with the state’s healthcare priorities.

National Health Mission (NHM), Arunachal Pradesh, has partnered with Wadhwani AI to integrate responsible artificial intelligence solutions into public health programs, aiming to improve healthcare access, enhance early diagnosis, and support frontline workers across the state.

As part of the MoU, Wadhwani AI, a non-profit AI research institute, will act as the technical partner, supporting the integration of AI tools aligned with the state’s healthcare priorities. These interventions span across tuberculosis care, telemedicine, maternal and newborn health, and eye health, targeting improved outcomes through data-driven insights.

Wadhwani AI stated on a social media post: “We deeply value the trust placed in us by the Government of Arunachal Pradesh and look forward to working together to build scalable, responsible AI solutions that improve health outcomes for communities across the state.”

Wadhwani AI chief programme officer Dr Neeraj Agarwal said that through this partnership, Wadhwani AI aims to support the continuum of care, from identifying high-risk populations to enabling frontline workers with AI tools and strengthening early disease detection.

NHM State Mission Director Marge Sora said, “Given our unique geographic challenges, it is essential that we adopt approaches that support timely decision-making and improve service delivery on the ground. As per approval received from the state government, this MoU is being signed as a step towards integrating such capabilities within our health system, with the aim of better supporting frontline workers and improving outcomes for communities across Arunachal Pradesh.”

One of the key solutions includes Cough Against TB (CATB), a mobile-based screening tool that enables frontline health workers to analyze cough sounds and symptoms to identify individuals with presumptive pulmonary tuberculosis.

In telemedicine, a Clinical Decision Support System (CDSS) will assist clinicians by providing structured patient data and AI-supported differential diagnosis recommendations, helping improve consistency and quality of care across primary health facilities.

To further support frontline workers, Health Vaani, a voice- and text-based assistant, will offer access to government-approved health guidelines, enabling quicker and more informed decision-making during service delivery.

The collaboration also addresses non-communicable disease management through MadhuNetrAI, an AI-enabled screening tool designed to detect diabetic retinopathy by analyzing retinal images, facilitating early referral for specialist care.

In maternal and newborn health, Shishu Maapan will allow frontline workers to capture accurate newborn measurements using smartphones during home visits. By identifying growth-related risks early, the tool aims to support timely interventions during the critical neonatal period.

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