A mobile x-ray van with AI could spot TB before it spreads

NCT ID NCT07737275

Not yet recruiting Diagnosis Sponsor: Columbia University Source: ClinicalTrials.gov ↗

First seen Jul 30, 2026 · Last updated Jul 31, 2026 · Updated 1 time

Summary

This study tests a community-based screening strategy for tuberculosis (TB) in migrant communities in New York City. A mobile van offers digital chest X-rays with AI interpretation, along with TB symptom checks, blood tests for latent TB, and HIV testing. The goal is to see whether this portable approach can catch active TB earlier and help people get the care they need.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: Mobile chest X-ray with AI interpretation, lung ultrasound, oral swab for HIV, and blood draw for TB testing
What this could lead to: If successful, this approach could make TB screening faster and more accessible for migrant communities, catching cases earlier and reducing spread.
What could go wrong: This is an early feasibility study, not a large trial. The screening may miss some cases or lead to unnecessary follow-ups, and results may not apply to other settings.

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Conditions

The condition(s) this trial relates to.

AIDS HIV infectious disease latent tuberculosis infection tuberculosis

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

HIV (HUMAN IMMUNODEFICIENCY VIRUS) TUBERCULOSIS (TB) TUBERCULOSIS INFECTION, LATENT

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