AI could provide radiologists with significant value as an advanced peer review tool, according to new findings published in Academic Radiology.

AI algorithms can improve the overall quality of breast cancer screenings, according to a new study published in JAMA Network Open.

TeraRecon announced Monday, March 2, that its AI solutions have been awarded two technology patents from the U.S. Patent and Trademark Office.

AI is expected to impact radiology more than perhaps any other medical specialty. In healthcare, though, nothing is a given.

Ping An has launched a new AI-powered system for evaluating CT scans for signs of the Wuhan coronavirus, or COVID-19., a Mumbai-based AI startup, raised $16 million in a recent funding round.

Researchers have developed a cost-effective technique for breast cancer screening that does not require radiation exposure.

Numerous deep learning models can detect and classify imaging findings with a performance that rivals human radiologists. However, according to a new study published in the Journal of the American College of Radiology, many of these AI models aren’t nearly as impressive when applied to external data sets.

AI models can be trained to predict outcomes in meningioma patients, according to new research published in npj Digital Medicine. The study’s authors even developed a free smartphone app so others can explore their work.

Deep learning-based AI models can improve the segmentation of white matter in 18F-FDG PET/CT images, according to a new study published in the Journal of Digital Imaging. This helps radiologists with the early diagnosis of neurodegenerative disease.

Caption Health, a California-based AI company, has received authorization from the FDA to market its software solution for acquiring echocardiography images in the United States.

AI algorithms can help radiologists achieve a “significant improvement” in their ability to detect breast cancer, according to a new study published in The Lancet Digital Health.