Computer scientists in Canada and the U.S. have built an AI-powered search engine for clinicians and researchers engaged in the battle against COVID-19.

Stanford researchers had been working for years on an AI-powered system to monitor elderly patients at home when the coronavirus outbreak became a global crisis. Now their work is not just nifty but needed.

A new deep learning algorithm can evaluate 134 different skin disorders, predicting malignancy and recommending key treatment options, according to new findings published in the Journal of Investigative Dermatology.

Representatives from the two companies emphasized that its effectiveness is still being validated. At this stage, it is to be used for research purposes and not as a diagnostic tool.

A tech giant is offering a free hand to healthcare experts working in various fields that could be tapping tireless AI rather than overworked humans to answer questions from the general public on COVID-19.

The images are rendered from CT scans and allow viewers to navigate the lungs in 360-degree tours, as demonstrated in a video podcast posted by George Washington University Hospital.

Sectra has received FDA clearance for its Digital Pathology Module, a primary diagnostics tool intended for U.S. healthcare providers.

Researchers have used machine learning to develop a blood test that can find 50 or so types of cancer.