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.
As radiological imaging data rapidly grows, conventional x-ray rooms are giving way to intuitive, automated environments that increase productivity and enhance patient care. Just look at the latest technologies out of Carestream.
An automated AI measurement of visceral fat area on abdominal CT images predicts future heart attack or stroke risk better than overall weight or BMI.
A new artificial intelligence-based score considers multiple factors, including chest x-ray data, to predict the prognosis of individual patients with COVID-19 seen at urgent care clinics or emergency departments.
Read More
The $3.7 million NIH grant supports AI developments to improve the accuracy of diagnosis and reduce the need for more costly and invasive procedures.
Read More
Women are not in support of a fully independent use of AI to interpret screening mammograms without involving a radiologist, according to a new study.
Read More
AI will automate some functions to help make radiologists more efficient and give them the freedom to focus on other aspects of their jobs, perhaps even to discover additional conditions that were previously undiagnosed
Read More
The patent allows Thirona to develop an AI algorithm that will analyze CT scans to identify even the smallest abnormalities in the lungs.
Read More