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The latest neurovfm news, distilled by AI into sharp ~100-word summaries. ByteBrief tracks neurovfm across dozens of tech sources and brings you only what matters, updated hourly. Tap any story for the full brief, or open the original source.
University of Michigan researchers built NeuroVFM, a neuroimaging foundation model trained on 5.24 million clinical MRI and CT volumes from 566,915 studies. Published in Nature Medicine, the model uses Vol-JEPA to learn from uncurated clinical data, outperforming general models on brain-imaging tasks.
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