A University of Michigan AI model diagnoses more than 50 brain disorders from MRI scans in seconds, with up to 97.5 percent accuracy.

An international study led by researchers from the Sant Pau Research Institute (IR Sant Pau) shows that advanced use of magnetic resonance imaging (MRI) allows much more accurate identification of ...

An international study led by researchers from the Sant Pau Research Institute (IR Sant Pau) shows that advanced use of ...

A NEW AI foundation model for neuroimaging was able to read and diagnose brain MRI scans in seconds, a 2026 health system-wide study has found. Prima, developed by researchers at the University of ...

Abstract: Magnetic resonance imaging (MRI) is an important tool for brain cancer diagnosis and classification. Combined with modern convolutional neural network (CNN) technology, it can effectively ...

Abstract: Accurate brain tumor segmentation in MRI scans is crucial for effective diagnosis and treatment planning, as even minor segmentation errors can lead to significant clinical concerns. However ...

A new MRI technique called Velocity Spectrum Imaging can map fluid movement in the human brain within a 3D pixel, according ...

Scientists have created an AI model that can diagnose brain MRIs with 97.5 per cent accuracy and identify over 50 neurological conditions in seconds.

A new study from researchers at the University of Michigan suggests that artificial intelligence could help solve this ...

A new AI foundation model from Mass General Brigham may be capable of analyzing brain MRI datasets and predict various ...

Mass General Brigham investigators have developed a robust new artificial intelligence (AI) foundation model that is capable ...