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Morning Edition · Thursday, October 8, 2026Published at 2:25 AM EDT · New York
MIT's open-weight FleXray segments 60 anatomical structures in X-rays after training only on synthetic images rendered from CT scans
The team skipped manual X-ray annotation and used a physics-based engine to generate fully labeled 2D X-rays from existing 3D whole-body segmentations.
MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), working with Massachusetts General Hospital and Harvard Medical School, has released FleXray. It is a generalist model that segments 60 anatomical structures, from ribs…
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AI Moves Into Autonomous Scientific Discovery and Clinical Care
Over the next 3-9 months, AI systems move beyond text tasks into running real scientific experiments and managing clinical care, backed by peer-reviewed and benchmarked evidence of chemist- and physician-level performance.
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