To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...

New data science-driven alert framework expected to reduce clinician burden by 45% while preserving industry-leading ...

CLEVELAND, Ohio — At University Hospitals, patients are using a wearable device that wirelessly transmits their heart rate and blood pressure to caregivers, even while walking around. UH is among the ...

An update from Seeing Machines ( (GB:SEE)) is now available. Seeing Machines Limited reported a significant growth in its Driver and Occupant Monitoring System (DMS/OMS) technology, with over 4.2 ...

Mario Aguilar covers technology in health care, including artificial intelligence, virtual reality, wearable devices, telehealth, and digital therapeutics. His stories explore how tech is changing the ...

Please provide your email address to receive an email when new articles are posted on . Machine learning can use patient-reported outcomes to identify low disease activity in rheumatoid arthritis.

Rural communities are the backbone of our nation, yet when it comes to healthcare, they often face a unique set of uphill battles. From vast distances to provider shortages, the delivery of efficient ...

When remote patient monitoring (RPM) surged during the pandemic, the appeal was clear: Give physicians real-time insights and intervene early to prevent complications. Medicare’s coverage accelerated ...

Union nurses at Mission demanded hospital administration meet with them to address standards of care following the July death of a patient in the cardiac unit. // Watchdog photo by Katie Linsky Shaw A ...

Experts emphasize that remote patient monitoring (RPM) is most effective when supported by structured care teams and workflows, with artificial intelligence–enabled tools helping to interpret data and ...