Home / Health / AI Flags 11,091 Villages High-Risk for TB in Maharashtra
AI Flags 11,091 Villages High-Risk for TB in Maharashtra
24 Jun
Summary
- AI identified 11,091 high-risk villages for TB in Maharashtra.
- 6,111 new TB cases were found in the first 35 days.
- AI analyzes 32 indicators to predict TB transmission risk.
An artificial intelligence-based assessment has identified 11,091 villages across Maharashtra as high-risk for tuberculosis, the state's Public Health Minister announced recently. This initiative is part of the Centre's 100-day TB Mukt Bharat Abhiyan, launched on March 24. In the initial 35 days of this campaign, Maharashtra registered 6,111 new TB cases.
The AI system, developed by Wadhwani AI for the Government of India, analyzes 32 indicators to predict areas prone to TB transmission. These indicators encompass previous TB cases, contact history, sanitation, nutrition, vaccination, literacy, comorbidities like diabetes and hypertension, tobacco and alcohol use, and population density.
Villages flagged include 482 in Nagpur district, 539 in Yavatmal, 504 in Amravati, and 488 each in Nashik and Raigad. The AI model utilizes geospatial features, health and social determinants, and National TB Elimination Programme data to identify these high-risk zones for targeted screening.
