IndicStack Reports · 14 November 2026

AI in Tuberculosis Screening

A Flag Is Not a Diagnosis

For camp and hospital teams, and the people who build or buy healthcare AI. This report examines the steps around the AI read: who is screened, how cutoffs are set, and what happens after a flag.

Dr Prasanth Ghanta, PhD

Founding Scientist, Life Sciences & Healthcare

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Report cover: AI in Tuberculosis Screening, by Dr Prasanth Ghanta, PhD

Inside the report

The steps around the AI read

Screening coverage, local cutoffs, equipment, confirmatory tests and follow-up.

The evidence and its limits

What studies from India and other settings say about AI tools, local validation and different patient groups.

From a flag to a diagnosis

The path from an abnormal X-ray to testing, results and the start of treatment.

Questions for builders and buyers

Tool versions, field validation, consent, hosting and logs: questions to take into a vendor discussion.

Take a look inside

A preview of the article’s opening page. The complete report includes the figures, references and author details.

Written for healthcare AI builders, life-sciences teams and researchers.

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Preview of the report’s opening page

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