Artificial Intelligence

Aidoc, a Tel-Aviv, Israel-based medical imaging company, announced that it has raised $27 million in a Series B investment round led by Square Peg Capital.

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. 

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.

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.

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.

Enlitic, a San Francisco-based healthcare company focused on the use of AI in medical imaging, announced Thursday, April 4, that it has closed a $15 million Series B financing round.

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

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.

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.

CureMetrix, a La Jolla, California-based healthcare technology company, has received FDA clearance for its new AI-based triage software solution for mammography.