In a sampling of 2,273 chest radiographs of kids aged 2 to 18-years-old the AI-based software achieved diagnostic accuracies ranging from 86% to 96.9% for detecting a myriad of pathologies.
Charles Davidson, MD, clinical chief of cardiology and medical director of the Bluhm Cardiovascular Institute, Northwestern University, explains what hospitals need to consider when starting a new structural heart program.
A recent analysis of 51 patients revealed that contrast-enhanced mammography and MRI offered comparable assessments of lesion size, and both had similar specificity for pathologic complete response.
In the image above, each column shows one instance of plaque erosion as detected by the AI algorithm. Photos in the top row show original images, photos in the second row show ground truth images, and photos in the bottom row show predicted plaque erosion. Image courtesy of Sun et al.
Detecting plaque erosion can offer an early warning sign of restricted blood flow to the heart, which can cause heart attacks.
A healthcare AI platform supplier headquartered in Scotland is collaborating on marketing with a San Francisco-based AI startup co-founded and -led by a radiologist.