Machine learning models can be trained to predict chronic diseases such as dementia using electronic medical record (EMR) data, according to a new study published in Artificial Intelligence in Medicine.

Patients at UCHealth locations throughout Colorado now have the opportunity to experience NFL games up close and personal—all without missing a single treatment.

LeanTaaS, a Santa Clara, California-based software company, announced the completion of a $40 million funding round courtesy of the merchant banking division at Goldman Sachs.

Two established AI startups are partnering to supply a digital toolkit for physicians at risk of burnout. The companies’ aim is to offer these doctors various prevention and treatment resources any place, any time. 

Oncopole, a Montreal-based research center, announced that five teams won the Onco-Tech Competition and will receive a total of $1.97 ($2.6 million CAD) in funding.

AI is almost certain to have a monumental impact on radiology, but what, exactly, will that mean for radiologists?

Researchers have developed an AI algorithm that can identify cancer cells in digital pathology images, sharing their findings in EBioMedicine., a Sydney, Australia-based healthcare company focused on AI technologies, has raised $19.9 million (A$29 million) in funding.

Deep learning models can improve the detection of attention deficit hyperactivity disorder (ADHD), according to new findings published in Radiology: Artificial Intelligence.

U.S. Senators Ron Wyden and Cory Booker want to know what government agencies and insurance providers are doing to make sure health systems avoid the use of biased algorithms.

Royal Philips and Paige, a New York-based healthcare startup, are working together to put AI in the hands of pathologists.

XRHealth has developed a new platform that allows physicians and their patients to communicate directly using virtual reality (VR) and augmented reality (AR).