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.

CMS issued its year one performance results for participants in the Merit-based Incentive Payment System (MIPS), revealing that 93 percent of eligible clinicians received at least some positive payment adjustment for their 2017 performances.

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.

Medicaid work requirements, which have been approved by CMS in a handful of states, could have dire consequences for the thousands of people who have lost their healthcare insurance coverage as a result of the programs, according to a non-partisan legislative branch agency.

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

Adopting sophisticated information technology (IT) in nursing homes leads to better patient care, according to a recent study from the University of Missouri published in Nursing Care Quality.

The FDA has given 510(k) clearance to software that uses AI to detect the presence of brain bleeds in CT images.