AI news that drew views Sept. 14–18

Providers seeing patients remotely via Microsoft Teams make up the target market for a Nuance voice-recognition offering that automatically takes clinical notes during virtual visits and renders them useful immediately afterward.

Researchers at West Virginia University are well placed to tap AI for teasing out the role of existing respiratory concerns in the progression of COVID-19.

Researchers have demonstrated the use of machine learning to predict suicides in a general population, achieving good accuracy by including data from routine health checkups.

A free web tool known as “Chester the AI Radiology Assistant” can assess a person’s chest X-rays online within seconds, ensuring patients’ private medical data remains secure while predicting their likelihood of having 14 diseases.

Crossing machine learning with low-cost infrared sensors, AI developers are pushing the envelope on ambient intelligence, or AmI, for use in healthcare.

A popular and fast-growing consumer healthcare company rooted in technology intends to go public with an initial offering of $100 million in shares.

A multinational group of scholars has put together two fresh sets of guidelines for researchers testing AI applications in clinical trials.

Researchers in Canada are working to develop AI models for diagnosing and treating mental illness. One application in their sights involves automated interpretations of brain scans.