Google Research develops AI tool to detect tuberculosis from X-rays
Google Research: Bringing foundational models to the front lines of TB screening
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Google Research has developed AI tools that can detect tuberculosis from chest X-rays with accuracy matching expert radiologists, addressing a critical gap in diagnostic access for remote and resource-limited areas. Tuberculosis remains one of the world's deadliest infectious diseases, killing over one million people annually, with many cases going undetected because radiologists and imaging infrastructure are scarce in high-burden regions. The work has progressed from initial research through independent validation, regulatory certification of a diagnostic tool developed with a partner company, and real-world deployment across multiple countries where it now screens thousands of patients. To enable broader global impact beyond individual partnerships, Google has released open-source foundational models that allow developers and health systems to build their own localized TB screening solutions using modest computational resources.
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