Going head-to-head against a small group of clinicians in 50 care episodes, an AI-based smartphone app has equaled or bested the humans at triaging patients to the most appropriate site of care.

While big breakthroughs in healthcare AI seem to have slowed in recent weeks, those involving other hot technologies have kept the content coming for publishers of peer-reviewed medical journals.

Healthcare workers in Washington, D.C., are required to get vaccinated against COVID-19 by September 30, Mayor Muriel Bowser and DC Health announced.

Babies and young children are more likely to spread COVID-19 in their homes compared to older children and teenagers, according to a recent study published in JAMA Pediatrics.

Two out of three people have had a negative experience with a medical provider, according to a recent survey from Accenture.

Freely hope for the best, but diligently prepare for the worst. Applied to end users of healthcare AI, that adage could have been a key takeaway at last week’s annual meeting of HIMSS in Las Vegas.

If humans and only humans can be named inventors on U.S. patent applications, some AI developers are going to be disincentivized from innovating.

Women soccer players have either better ball-recovery skills than men or worse ball retainment. Either way, the result is a “more fragmented game” in women’s soccer.

Researchers have used deep learning to assess three key biomarkers of existing breast cancers on routinely acquired histology slides. In the process, the team has advanced AI-based biomarker analysis for managing a range of cancers.

Researchers have piloted a deep learning algorithm that can recognize visual cues of sickness, also known as “clinical gestalt,” in facial photos.