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 E-Mail IMAGE: Examples of axial FLAIR sequences from studies within dataset A. From left to right: a patient with a 'likely normal' brain; a patient presenting an intraparenchymal hemorrhage within the right... view more  Credit: Radiological Society of North America OAK BROOK, Ill. - An artificial intelligence-driven system that automatically combs through brain MRIs for abnormalities could speed care to those who need it most, according to a study published in Radiology: Artificial Intelligence. MRI produces detailed images of the brain that help radiologists diagnose various di...

AI-driven system for automatically detecting abnormalities on brain MRI could speed up care An artificial intelligence-driven system that automatically combs through brain MRIs for abnormalities could speed care to those who need it most, according to a study published in Radiology: Artificial Intelligence. MRI produces detailed images of the brain that help radiologists diagnose various diseases and damage from events like a stroke or head injury. Its increasing use has led to an image overload that presents an urgent need for improved radiologic workflow. Automatic identification of abnorm...

RSNA: AI-based System Could Help Triage Brain MRI Exams Share Article An artificial intelligence-driven system that automatically combs through brain MRIs for abnormalities could speed care to those who need it most, according to a study published in Radiology: Artificial Intelligence. There are an increasing number of MRIs that are performed, not only in the hospital but also for outpatients, so there is a real need to improve radiology workflow. One way of doing that is to automate some of the process and also help the radiologist prioritize the different exams. ...