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.

The FDA has announced that it is working toward developing a new regulatory framework for medical devices that use advanced artificial intelligence (AI) algorithms.

Representatives from numerous healthcare organizations gathered in 2018 and developed a new document focused on helping researchers use AI algorithms in radiology to improve patient care. 

The American College of Radiology (ACR) Data Science Institute (DSI) just launched its ACR AI-LAB software platform and has already secured a key collaborator: GE Healthcare.

Deep learning techniques can be used to detect catheters and tubes in pediatric x-rays, according to a new study published in the Journal of Digital Imaging. These findings could lead to advancements that prioritize x-rays with poorly placed catheters, bringing them to a specialist’s immediate attention.

Researchers have developed a deep learning (DL) model that assesses a woman’s five-year cancer risk with a single breast MR image, sharing their findings in the American Journal of Roentgenology.

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.