Week in Review: AI news that drew views May 11 to 15

The University of Pennsylvania is teaming with Intel to lead a federation of more than two dozen medical and research centers on an AI system for identifying brain tumors.

Researchers in the U.K. and U.S. have developed an automatic prediction model that can tell if someone is infected with COVID-19 based on symptoms alone.

Fresh off an investment infusion of $25 million, a tech startup has launched an ambitious virtual consortium to seek “breakthrough medical discoveries and actionable findings” for the global battle against COVID-19. 

The aim of the collaboration is to map out cardiac irregularities caused by the virus.

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.

A convolutional neural network trained and internally validated on more than 15,000 lung CT scans has correctly reclassified indeterminate pulmonary nodules into low-risk or high-risk categories.

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.

The FDA has permitted the use of Aidoc’s AI models for the detection and prioritization of incidental CT findings associated with COVID-19.