medRxiv PreprintsInternational12 November 2026
Geospatial AI targeting of tuberculosis active case finding in Pune, India: a quasi-experimental evaluation
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BACKGROUND: Active case finding (ACF) in India screens large populations to find few cases. AI-NETRA predicts neighbourhood-level tuberculosis (TB) risk from routine notification data and generates field microplans. OBJECTIVE: To compare the yield and efficiency of AI-guided and standard ACF, and frontline acceptability. DESIGN: Prospective quasi-experimental evaluation in four TB Units of Pune district, comparing two-week AI-guided sweeps (April to May 2026) with the routine campaign in the same units (December 2024 to January 2025). Primary endpoint: bacteriologically confirmed pulmonary TB
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