For champions of AI in healthcare, the COVID-19 crisis affords an unignorable opportunity to trumpet the technology’s current contributions while directing attention to its potential for helping fight public-health crises to come.

Intermountain Healthcare, the sprawling 24-hospital system based in Utah, is partnering with a supplier of healthcare-specific virtual assistants to offer patients an automated COVID-19 interface on Intermountain’s homepage.

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 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.

When Windy City residents send out tweets containing the term “food poisoning,” an algorithm offers a form for sharing details with Chicago’s public-health officials. Why not do the same with keywords like “cough,” “fever” and “trouble breathing” to help track COVID-19?

Scripps Research is recruiting volunteers to contribute anonymized data on their resting heart rate and, optionally, to report signs of viral illness like fever or coughing.

Gov. Andrew Cuomo is looking for skilled IT workers to volunteer for 90-day stints as members of a COVID-19 “technology SWAT team.”

OSF Health is leveraging AI to help patients better understand the risks of contracting COVID-19 and navigate care types based on their symptoms.

A new AI app hitting the market could predict sickness before a person even appears sick.

Jvion, an AI-enabled prescriptive analytics company, has launched a data analysis project that aims to find patterns in the spread of viruses that cause acute respiratory illness like the new coronavirus, dubbed COVID-19.

As the U.S. continues ramping up its response to the new coronavirus, COVID-19, the role of AI could loom large in helping identify the highest risk patients.

The newly incorporated American Board of Artificial Intelligence in Medicine (ABAIM) is soon to begin credentialing healthcare workers in AI, machine learning and deep learning.