Week in Review: AI imaging for COVID | Tips from Gartner | AI ‘cluster hires’

Researchers are hard at work developing new AI algorithms that could help radiologists diagnose COVID-19 patients.

The research and advisory firm says these are the areas likely to yield the biggest bang for the AI buck when it comes to making better decisions on how to deal with the pandemic.

“Artificial intelligence in precision medical imaging and diagnostics” is among several areas of concentration for which the University of Wisconsin-Madison will be making cluster hires over a period of at least two years.

Babylon is partnering with Mount Sinai Health Partners to bring its AI-powered digital healthcare solution to New York. 

The FDA has cleared an investor-backed teleradiology provider to market two AI algorithms the company developed to flag certain stroke-associated findings in images from head CT scans.

An AI algorithm has slightly outperformed neurologists at identifying or ruling out Alzheimer’s disease from MRI brain scans combined with demographic information and neuropsychological test results.

Scale AI is funding eight research projects focused on helping Canada respond to the ongoing COVID-19 pandemic, an investment that adds up to $3.4 million.

The test may also have a second important use—improving the treatment of COVID-19 patients.

Coviant Software is announcing it has become the first and only supplier of managed file transfer (MFT) software to fully support Google Cloud’s newly opened healthcare API for data exchange.