Researchers noted that these patients received care in the same hospitals and were treated by the same physicians. So why the difference in outcomes? 

The scientists focused on getting their AI to mimic the cortical mechanism of “gating,” which controls information flow between neuron clusters to apply existing knowledge to new situations.

Analyzing timestamped EHR data from more than 21 million primary care visits in 2017, researchers have ascertained average lengths of visit and other metrics useful to assessing care quality.

Oxford researchers have developed and prospectively validated two AI tools that can quickly screen hospital patients for COVID-19 using routine clinical data.

A trend has emerged of evidently softhearted ransomware gangs swearing off hospitals during the COVID crisis.

North of the border, two grants of $200,000 are on offer for researchers innovating transformative ways to apply AI in healthcare—and they’re only one part of an ambitious academic endeavor to expand medical AI.

The COVID crisis has pushed healthcare providers to up their game on digital health, but the sector is not moving fast enough on this front for the liking of healthcare consumers.

More than 105 exhibitors presented AI-specific wares in the virtual AI showcase. That was down from 2019’s pre-COVID 150 but still easily beat 2018’s head count, around 75.