Using computer-aided detection (CAD) software powered by artificial intelligence leads to fewer false-positive mammograms, according to new findings published by the Journal of Digital Imaging. Significant cost savings could also be realized by making such a switch.
Artificial intelligence and machine learning technologies could fundamentally change healthcare forever, both for providers and their patients. A new analysis published in the New England Journal of Medicine examined that potential shift in great detail.
The American College of Radiology (ACR) Data Science Institute (DSI) has launched ACR AI-LAB, a new software platform that helps radiologists create, validate and use artificial intelligence to treat patients.
Artificial intelligence (AI) can assess thoracic disease findings in chest x-rays with higher accuracy than radiologists, according to research published in JAMA Network Open. The same algorithm can also improve reader performance when utilized as a second reader.
A convolutional neural network (CNN) can differentiate between benign and malignant breast masses on ultrasound images with high accuracy, according to new research published in the Japanese Journal of Radiology.