Aidoc’s solution for flagging and prioritizing pulmonary embolisms is now commercially available in Europe

Mammography is an essential screening and diagnostic tool for the detection of breast cancer and the assessment of breast density. But, according to Victoria L. Mango, MD, a breast radiologist at Memorial Sloan Kettering Cancer Center in New York City, AI can help breast imagers and physicians see beyond basic breast density information provided by mammographic images and improve clinical management overall.

Researchers have developed new AI models that can predict when atypical ductal hyperplasia (ADH) breast lesions will be cancerous, publishing their findings in JCO Clinical Cancer Informatics.

After seeing success from its AI-powered healthcare bot, Ohio-based healthcare technology company Olive is planning to add 100 tech jobs within the next two years, according to a report by Columbus Business First.

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.