Study: When adults gain access to Medicaid, they sign up their previously unenrolled kids, too — yet many more remain outside the system.

New research ties inaccuracies in pulse oximeter readings to racial disparities in treatment and outcomes.

Large study of existing research shows incremental improvement in patient outcomes and productivity, without big employment changes.

Researchers have made strides toward machine-learning models that can help doctors more efficiently find information in a patient’s health record.

Program supports family caregivers with dedicated service coordinators based on learning from MIT's AgeLab.

First results underscore the urgent need for a better understanding of how to address inequities in birth outcomes.

The anomaly-detection model developed by SMART utilizes machine learning to detect microbial contamination within a few minutes.

Study shows AI can identify self-reported race from medical images that contain no indications of race detectable by human experts.

The system could provide teleoperated endovascular treatment to patients during the critical time window after a stroke begins.

A new deep-learning algorithm trained to optimize doses of propofol to maintain unconsciousness during general anesthesia could augment patient monitoring.