The COVID crisis has driven mental-health issues into the medical matrix at the population level. AI may be able to help. 

What the five have in common are software products aimed at helping providers improve patient engagement by leveraging AI. The recognized companies also meet IDC’s criteria for having revenues below $100 million.

Healthcare AI companies of all sizes need patient data to design their products and make their fortunes. Big healthcare providers have the data and need the tech partners to help advance modern medicine.

AI companies serving healthcare markets have been fast to tailor their work to the COVID-19 crisis. An opinion piece published by the World Economic Forum offers a sampling.

The Midwestern Catholic health system Hospital Sisters is working with an AI startup to block overutilization of surgical services.

The U.S. Federal Aviation Administration has cleared North Carolina-based Novant Health to use unmanned aerial vehicles for transporting PPE and other medical supplies without human-to-human contact.

If healthcare AI is to improve care and efficiency in clinical practice across medicine, its proponents in radiology must implement it in a structured manner.

Understood as a virtual army in the war against COVID-19, AI has vast stockpiles of potential weaponry with which to wage many a battle. That’s the good news.

Clinicians equipped with machine learning can, in theory, apply what works for one patient to the care of another—and another, and another—and so on.

When applying AI to help answer clinical questions, developers, researchers and clinicians should all remain mindful of the difference between interpretability and explainability.

A group of students at Cornell University has developed a new face mask design that monitors the wearer’s vital signs.

“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.