Researchers have demonstrated two deep learning tools aimed at uncovering the psychology of aging.

Only 19 of 159 radiation oncology professionals working across Canada, or 12%, feel they’re well-versed in AI. However, more than 90% are open to learning its ways.

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.