// AI news · 2026-10-24 · Google Research Blog
Google Research shares TB screening foundation model
Google Research, in collaboration with Nexus AI, has developed and deployed an open foundation model for TB screening using chest X-rays.
Published 2026-10-24 02:51 (Beijing time)Source Google Research BlogAuto-summarised, fact-checked against source
01Summary
The tool has been validated across diverse populations and certified under EU MDR Class IIb and ISO 13485 standards. It is now operational in 40 facilities across six countries, reducing diagnosis time from weeks to under 45 seconds. Over 25,000 radiographs have been screened, with more than 3,000 free screenings delivered to underserved clinics.
Summarised from the original article by an open-source model, then checked automatically: every number and English name must appear in the source. The original article is authoritative.
02Key points
- AI model achieves radiologist-level TB detection accuracy in chest X-rays.
- Validated in multiple studies including The Lancet Digital Health and NEJM AI.
- Certified under EU MDR Class IIb and ISO 13485 standards.
- Deployed in 40 facilities across six countries with over 25,000 screenings.
03Source
Bringing foundational models to the front lines of TB screening
Google Research Blog · published 2026-10-24 02:51 Beijing time
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