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The medical imaging AI community is being held back by a fragmented data landscape, but a new metadata-driven fusion paradigm offers a path to unlocking the power of foundation models.
A 4B-parameter model, Meissa, rivals the performance of much larger proprietary models in medical agent tasks, offering a cost-effective and privacy-preserving alternative for clinical applications.
Imagine a world where AI can simulate tumor growth under different treatments, helping doctors choose the best plan – this paper makes that vision a reality with a medical world model that outperforms even specialized GPTs.
