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.

Social media giant Facebook has announced its new Preventive Health Tool aimed at prompting users of its site to connect with healthcare services and organizations.

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

The notion of a digital transformation in cardiology, and healthcare as a whole, is an appealing one. But data presented at MedAxiom’s CV Transforum last week suggests we’re further away from a transformation than we might think.

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.