Though AI is believed to be a game changer in medicine, Canadian medical students interested in radiology still aren’t sure if it will have a positive impact.

The National Institute on Aging has awarded a total of $5 million for two projects that will use AI and big data to better understand Alzheimer’s disease and other memory loss diseases.

Massachusetts researchers have developed a predictive model designed to help physicians know when to administer critical drugs to sepsis patients before the condition turns deadly.

Amazon Web Services (AWS) is adding to its list of HIPAA eligible machine-learning services.

AI-powered tool learns to automate hearing aid settings based on wearer's preferences and behavior

The Blavatnik Family Foundation has pledged $200 million to Harvard Medical School, the university announced last week.

A UK-based technology company has created a new digital health platform that uses machine learning to help predict a user’s health conditions.

Researchers with the Georgia Institute of Technology have developed an open source, machine-learning tool that accurately predicted how cancer patients would respond to specific chemotherapy drugs.

In the era of AI and machine learning, it’s no surprise clinical decision support systems (CDSSs) are becoming more available to clinicians. However, there are several ways to make CDSSs more transparent, easier to use, and based on peer-reviewed scientific evidence.

Ada Health is using its AI-powered medical app to improve healthcare access for underserved people around the world.