CMS announced Thursday, Oct. 31, that 25 participants have advanced in the agency’s Artificial Intelligence Health Outcomes Challenge, putting them one step closer to earning $1 million in prize money.

Fifty-three percent of physicians say they are optimistic about AI’s potential effect on healthcare, according to a new survey of more than 1,700 physicians published by the Doctors Company.

Deep learning can provide accurate measurements of a patient’s musculoskeletal (MSK) system by evaluating CT scans, according to findings published in IEEE Transactions on Medical Imaging.

Machine learning algorithms can be used to identify cancer patients at risk of short-term mortality, according to a new study published in JAMA Network Open. This helps providers plan for necessary conversations about end-of-life preferences.

Facebook and the NYU School of Medicine made headlines back in August 2018 when they announced their plan to improve MRI times using AI.

Just 7.5% of consumers in the United States have used voice assistant technology—Amazon’s Alexa, for example—for healthcare. According to a new report, however, 52% want to use it for that purpose in the future.

Siemens Medical Solutions, a wholly-owned subsidiary of Siemens Healthineers AG, has completed its acquisition of 100% of Waltham, Massachusetts-based Corindus Vascular Robotics. The deal, which was for $1.1 billion, was first announced back in August.

Researchers have uncovered a new way to determine when ductal carcinoma in situ (DCIS) is most likely to progress to a more invasive cancer, according to new findings published in Breast Cancer Research.

People often stare at their phones while using the restroom, scrolling through emails and social media posts to help pass the time. Now, however, two companies are asking phone-toting individuals to do something else before they flush: snap a quick photo of their poop.

HeartVista, a Los Altos, California-based healthcare technology company, has received FDA clearance for its AI-powered One Click cardiac MRI solution.

AI algorithms can identify melanomas in dermoscopic images with an accuracy comparable to human specialists, according to research published in JAMA.

Just days after launching a partnership with Google, has announced that it is now working with NVIDIA to improve patient care.