An Israeli healthcare AI startup has earned a seventh green light from the FDA. Its latest algorithm can reconstruct X-rays of bones into 3D printouts with no less clarity than would be produced by advanced imaging modalities.

Amazon Web Services is marketing the line to healthcare organizations that are awash in data but lack an efficient way to wring meaning from it.

Company Introduces New Technology to Healthcare IT Market

More than 105 exhibitors presented AI-specific wares in the virtual AI showcase. That was down from 2019’s pre-COVID 150 but still easily beat 2018’s head count, around 75.

An Ohio-based healthcare AI company focused on improving fiscal performance for payers as well as providers is buying a like-minded entity with expertise in streamlining prior-authorization processes.  

Drawing on nothing more than Facebook activity, psychiatric AI can distinguish individuals headed for hospitalization with schizophrenia from those with worsening mood disorders such as clinical depression and bipolar states. 

A women’s health technology company has received the FDA’s blessing to market deep learning-based software designed to help breast radiologists spot hard-to-find nascent cancers in 3D mammograms.

Researchers have demonstrated a machine learning model that can rule out COVID-19 in many emergency patients—and all the algorithm needs is data from routine ER blood tests.

Both outcomes and costs may vary widely from one patient to the next even in hospitals with consistently strong quality scores. Machine learning can help optimize the selection process for each patient as an individual.

Only two of 156 scientific papers on AI published over the past 12 years used emotion as input data, according to a new literature review. And the reviewers focused on a specialty ripe for augmentation by artificial emotional intelligence: pregnancy health.