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Google open-sources a medical foundation model to help implement global tuberculosis screening.

Google, together with partners such as Nexus AI, has brought a chest‑X‑ray–based AI tool for tuberculosis screening from the laboratory to primary‑care settings in six countries, and has open‑sourced multimodal foundation models like MedGemma and MedSigLIP, supporting offline deployment, localized adaptation, and data sovereignty.

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Microsoft claims its AI diagnostic tool achieves accuracy up to four times that of human doctors, with the related research published in the journal Science.

Microsoft AI CEO Mustafa Suleyman told The Verge that the company has developed an AI diagnostic tool whose accuracy in testing for multiple diseases is up to four times that of human doctors; the findings were published in the top-tier journal Science, based on a comparative evaluation of real-world medical cases and emergency‑room data against Microsoft’s proprietary benchmark (name not fully disclosed).

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