The COVID-19 Detection Neural Network—or COVNet for short—scored high marks in sensitivity and specificity, experts reported in Radiology

The Advanced Intelligent Clear-IQ Engine harnesses deep learning to help radiologists differentiate true magnetic resonance signals from noise. 

Vida Diagnostics said this round of financing comes by way of venture capital firm First Analysis. 

DeepHealth is an AI and machine learning company based in Cambridge, Massachusetts, and is primarily focused on solutions to aid in the interpretation of mammography exams. 

Physicians spearheading this effort recently incorporated the new not-for-profit, which they’re calling the American Board of Artificial Intelligence in Medicine, or ABAIM. 

SymphonyAI is focused on business-to-business artificial intelligence solutions, serving industries such as healthcare, manufacturing, retail, oil and media.

"Studies like this strongly suggest that radiologists will be masters of their domain for quite some time," one expert wrote in a corresponding JAMA editorial. 

China-based Ping An just launched the new artificial intelligence solution last month and its already been used on scans for 5,000 patients, officials said. 

Christopher Lee, MD, who teaches radiology at UW’s School of Medicine, is earning the funds through the NIH’s Method to Extend Research Time award, or MERIT. 

Sutter Health has used the new artificial intelligence platform to catch missed cancer diagnoses before they snowball into an untreatable state. 

A machine able to interpret diagnostic imaging studies better than radiologists has long been foreseen, yet its arrival comes almost as a surprise. We have underestimated the potential of AI to perform the kinds of work we do.

Despite authoritative voices reassuring radiologists that artificial intelligence will never seriously cull their workforce, speculation to the contrary continues. In fact, some of the prognosticators most certain about likely job losses are radiologists themselves.