Uttar Pradesh government and Wadhwani AI advance public health partnership

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Uttar Pradesh government and Wadhwani AI advance public health partnership

March 15, 2026 |Sunday |News

Empowering frontline healthcare workers with data-driven tools to improve care delivery across India’s most populous state

lay the foundation partnership between Uttar Pradesh government and Wadhwani AI (LEHS AI Unit)the state government is currently Promote collaboration By giving an overview implementation roadmap for Introduction of AI suite –Powerful solutions across all sectors state public health Programs containing ranges expand cooperation to Additional solutions future.

The purpose of the collaboration is Embed responsible AI Solutions within Uttar public health in pradesh Systems across priority areas Tuberculosis treatment, etc. management, telemedicine, maternal and child health, eye health check and frontline medical workers support.

In the early stages implementation phase, The main focus is on 7 introductions using AI Solutions across major publics health program. Wadhwani AI plays a technical role is a partner of the nation, support the deployment of Collaborate with AI-powered tools government people Health priorities.

of The collaboration is UP AI Mission3 years An initiative launched by Uttar Pradesh government Build a state-led system artificial intelligence accelerate the ecosystem, Leveraging AI across sectors Including governance, medical care and agriculture.

In tuberculosis treatment, Coorgh Tuberculosis Control (CATB) cell phone Telephone screening Application is activated frontline medical workers To identify an individual Presumed pulmonary tuberculosis Analyzing cough sounds, Symptoms associated with it, Allows for early detection In community settings. Complementing this effort, Valnerability mapping Tuberculosis (VMTB) use With geospatial AI analysis Identify high-risk locations Based on analysis of tuberculosis program data lined up side by side environment and health Indicators that help your health authorities prioritize targeted interventions and Active case finding Activities. prediction of Tuberculosis Adverse Effects (PATO); Risk using AI Stratification tool, will helps identify patients with High risk of side effects Outcome at the onset of tuberculosis treatment and promotion prompt, targeted, With effective interventions, Over time, it helps to degrade Mortality and prevention Drug-resistant tuberculosis.

In telemedicine, clinical Decision Support System (CDSS) clinicians will be able to Structured patient access Providing information and AIassist differential Diagnostic recommendations During the consultation, support quality, Consistent care delivery across primary care setting.

collaboration Also includes development of Health Vaani, audio and text-based knowledge assistant Providing frontline health Employees with immediate access Toward a government-approved health status Guidelines, quick activation decision making etc. Providing consistent service At the community level.

To cope with the growing burden Diabetes-related vision complications, We also develop partnerships MAdunet RaaiAI-enabled screening solution By analyzing retinal images, Detect diabetic retinopathy We support early introduction For professional care, Especially regarding resources,Restricted settings Experts may be available to be restricted.

motherhood and newborn health, Shishu Marpan, Newborn baby equipped with AI anthropometry tools, Achieving frontline health Workers accurately understand Neonatal measurements using Smartphone while at home Neonatal care visit.





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