Researchers have created a machine learning model that identified 98 percent of malignant atypical ductal hyperplasia (ADH) lesions prior to surgery, according to a single-center study published in JCO Clinical Cancer Informatics. The approach saved 16 percent of women from unnecessary surgery.

Royal Philips and Microsoft recently unveiled their latest technological collaboration for the "operating room of the future," which combines Philips’ Azurion image-guided therapy platform and Microsoft’s newly released HoloLens 2 holographic augmented reality (AR) headset to help create novel AR applications for image-guided minimally invasive therapy. 

Artificial intelligence (AI) could be a true game-changer for medical image interpretation, especially women’s imaging. But nothing is guaranteed.

For AI to become clinically feasible in women’s imaging, it must excel in the areas of performance, time, workflow and cost, according to an opinion piece published online in the American Journal of Roentgenology.  

The Royal Australian and New Zealand College of Radiologists (RANZCR) announced Thursday, Feb. 21, that it has published a draft of its guidelines for the appropriate use of AI and machine learning (ML) in healthcare.

The software, which analyzes tumors on CT scans, was up to four-times more accurate at predicting ovarian cancer deaths compared to standard methods, according to research published Feb. 15 in Nature Communications.

AI can predict a woman’s survival rate and response to treatments for ovarian cancer more accurately than current methods, according to research published online Feb. 15 in Nature Communications. 

IBM Watson Health has announced a new 10-year, $50 million investment in joint research collaboration projects with Brigham and Women’s Hospital in Boston and Vanderbilt University Medical Center (VUMC) to advance the application of artificial intelligence (AI) in public health.