At one of the largest medical schools in the U.S., less than a third of the students and only half the faculty are up to speed on healthcare-specific AI.

Infants in pain can’t describe the severity of their discomfort, but NICU nurses can e-learn how to gauge pain degrees according to standardized scales, allowing for prompt and appropriate pain-relief interventions.

Healthcare professionals looking to raise their AI game have a new chance to do so while earning CME credits as well as certification.

Many cases will be handled by primary-care providers, eye technicians and even patients themselves connected by telehealth and armed with commercial test kits and AI.

The deep learning models had nothing more to go on than routine abdominal CT scans acquired preoperatively.

Broadening clinician access to the health histories of patients’ parents and grandparents would help ward off or better treat numerous chronic illnesses common to middle-aged adults in the U.S.

Going by private health-insurance data, national telehealth utilization dropped 12.5% this spring, slipping from 5.6% of claims in March to 4.9% in April.

Along with AI in its various iterations, the list may include virtual and augmented reality, 3D printing, robotics and other technologies currently changing healthcare delivery.

The authors concentrate on robotic technologies that either augment a surgeon’s movements or simplify a multistep process.

With the U.S. opening approved COVID-19 vaccines to those 12 and older, teenagers are opting in on inoculations.