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.

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

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

AI developers working to refine COVID-19 detection in chest x-rays must navigate two unavoidable speed bumps.

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

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.