Google Research outlines how its TB screening AI moved from benchmarks to certified clinical deployment

Google Research described at IDWeek 2026 how its chest X-ray TB screening models progressed from a 2019 Radiology benchmark to a CE MDR Class IIb certified tool deployed by partner Nexus AI in about 40 healthcare facilities across six countries. More than 90 clinicians have evaluated over 25,000 chest radiographs, cutting turnaround from weeks to under 45 seconds, and the tool has also been deployed offline four kilometers underground at South Africa's Mponeng Gold Mine. Google has open-sourced chest X-ray embeddings and MedSigLIP through HAI-DEF and released MedGemma, which it says has passed 10 million downloads, while Indonesia's Ministry of Health is fine-tuning both models on domestic radiographs for a national screening program.