AI news that drew views this week (Dec. 7–11)

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.

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.

North of the border, two grants of $200,000 are on offer for researchers innovating transformative ways to apply AI in healthcare—and they’re only one part of an ambitious academic endeavor to expand medical AI.

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. 

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.

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.