Gauriau, R., et al. (2021) A Deep Learning-Based Model for Detecting Abnormalities on Brain MRI for Triaging: Preliminary Results from a Multi-Site Experience. Radiology: Artificial Intelligence ...

First patients enrolled in PRIME study at Yale School of Medicine, aiming to evaluate the potential of AI-powered portable MRI tech in the ED setting.

All POC [point-of-care] MRI findings were in agreement with available conventional radiology reports, except that 1 patient had a diffuse subarachnoid hemorrhage that was not observed on POC MRI ...

Hospital MRI scanners, using 3 Tesla magnets, provide poor spatial resolution in brain imaging. More recent 7T MRIs are better but used mainly in the rare research lab. Scientists have now ...

An artificial intelligence (AI) tool developed at The University of Texas Health Science Center at San Antonio accurately counts brain lesions on MRI scans within seconds.

In a stroke emergency, every second counts - early detection and rapid intervention can save lives even before a patient ...