cardiac mri scan
Cardiac MRI Plus Artificial Intelligence Improves Heart Attack, Stroke Prediction
Doctors may be able to predict the chances of death, heart attack, and stroke in patients by using cardiac magnetic resonance imaging (MRI) paired with artificial intelligence (AI), potentially making treatment recommendations that will improve patient blood flow and outcomes. The study, conducted by researchers with University College London, was published Friday in the journal Circulation. It was the largest study of its kind to date. Investigators examined and compared the AI-generated blood flow results in patients collected from cardiac MRI scans to assess their risk for an adverse cardiac episode. This analysis showed patients with limited blood flow were more likely to experience negative heart-related outcomes.
AI Can Read A Cardiac MRI In 4 Seconds: Do We Still Need Human Input?
You are, and welcome to the present and the future of automated machine learning programs that have the ability to significantly increase the speed of analysis of specialized MRI scans. Don't worry though--it's not ready for prime time just yet! Now, new research sheds light on just far we have come in terms of development of such machine learning programs. According to a new study published in the journal, Circulation: Cardiovascular Imaging, analysis of cardiac MRI scans using automated machine learning can be performed significantly faster and with comparable accuracy to human interpretation by trained cardiologists. It generally takes about 13 minutes for a trained physician (cardiologist) to interpret a cardiac MRI.
AI Can Read A Cardiac MRI In 4 Seconds: Do We Still Need Human Input?
You are, and welcome to the present and the future of automated machine learning programs that have the ability to significantly increase the speed of analysis of specialized MRI scans. Don't worry though--it's not ready for prime time just yet! Now, new research sheds light on just far we have come in terms of development of such machine learning programs. According to a new study published in the journal, Circulation: Cardiovascular Imaging, analysis of cardiac MRI scans using automated machine learning can be performed significantly faster and with comparable accuracy to human interpretation by trained cardiologists. It generally takes about 13 minutes for a trained physician (cardiologist) to interpret a cardiac MRI.