Now comes a boomlet in vendors looking to piggyback on Viz.ai’s success, according to Niall Brennan, MPP, a member of Viz.ai’s advisory board who is also the head of the Healthcare Cost Institute.

A few months into the COVID crisis, the health department of California’s Contra Costa County faced an unexpected side challenge: Staff were getting inundated by faxes bearing vital health data.

A new deep learning algorithm quickly and accurately forecasts outcomes of COVID-positive patients in the ER going by routine workup information.

An integrated delivery network that covers five and a half million lives is bringing in Google Cloud to help build and maintain a patient-centric platform with advanced analytic and AI capabilities.

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.

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.

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

Various scenarios within medical diagnostics are among the AI use cases that an official European watchdog has flagged as a potential source of hazards to fundamental human rights.

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.