Tag: Neuroimaging
Generative AI stretches tiny datasets to spot dyslexia early
Researchers fused synthetic brain scans with a multi-model network to classify dyslexia in children using only 58 MRI images.
Weizmann model rebuilds viewed images from brain scans
A new decoder reconstructs what someone looked at and predicts brain activity from an image, sharpening a debate over neural…
NeuroVFM trains on 5 million clinical scans to build a generalist brain AI
The foundation model learned directly from uncurated clinical MRI and CT data generated during routine care.
Michigan Medicine neuroimaging model outperforms GPT in brain scan analysis
Michigan Medicine researchers have introduced NeuroVFM, a visual foundation model trained on 5.24 million clinical brain scans that outperforms GPT-5…