Brain-IT takes advantage of the thing that AI is best at, which is pattern recognition. It takes in data from functional MRI ...
Researchers have created a large, openly available neuroimaging resource from more than 24,000 MRI scans of over 10,000 ...
An AI-powered model developed at University of Michigan can read a brain MRI and diagnose a person in seconds, a study suggests. The model detected neurological conditions with up to 97.5% accuracy ...
Researchers in India combined EfficientNet-B0 and a transformer encoder to classify Alzheimer's disease from multi-slice MRI ...
China has unveiled what researchers describe as the world’s first full-stack magnetic resonance imaging-based brain-computer interface solution, combining brain-signal acquisition, decoding, ...
A Chinese research team has built a radiomics and deep learning model that predicts brain invasion in meningiomas from ...
The brain's network of blood vessels plays a critical role in maintaining neurological health. Changes to these vessels are ...
Not all researchers are convinced that the brain changes detected via MRI are robust enough to become a diagnostic tool. But the findings could help researchers better understand the mechanisms that d ...
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