AI Predicts Medical Outcomes with Device Data

AI Predicts Medical Outcomes with Device Data

Machine learning applications in medicine usually entail analysis and prediction. It’s easy to imagine multiple applications for AI in public health, resource allocation, disease trends, and cost containment. From a patient’s perspective, however, machine...
Smart Pill Bottle

Smart Pill Bottle

Adherence to medication prescriptions is a cornerstone of positive patient outcomes. A 2018 study of medication nonadherence at the University of California, San Francisco School of Medicine found that 40% to 50% of patients with chronic conditions do not follow their...
Wearables Spot Motor Deficits in Kids

Wearables Spot Motor Deficits in Kids

Developmental disabilities in children too often go undetected before the condition progress past the time when treatment could be most effective. The CDC states that parents, teachers, and others involved should all be on the lookout for developmental milestones in...
Remote Patient Monitoring Tech Pays Off

Remote Patient Monitoring Tech Pays Off

Any new medical technology that improves patient outcomes and reduces service costs is a win. The FDA recently approved Class II clearance for Current Health’s artificial intelligence-powered continuous, real-time wireless remote patient monitoring (RPM) and...
Machine-Learning Detects Sepsis 48 Hours in Advance

Machine-Learning Detects Sepsis 48 Hours in Advance

According to the CDC, one of every three patients who die in a hospital has sepsis: a result of the body’s natural defenses against infection. Each year 1.7 million adults develop sepsis and 270,000 people die from from the condition annually. The University of...