Precision Medicine

Now comes a boomlet in vendors looking to piggyback on Viz.ai’s success, according to Niall Brennan, MPP, a member of Viz.ai’s advisory board who is also the head of the Healthcare Cost Institute.

A new deep learning algorithm quickly and accurately forecasts outcomes of COVID-positive patients in the ER going by routine workup information.

An integrated delivery network that covers five and a half million lives is bringing in Google Cloud to help build and maintain a patient-centric platform with advanced analytic and AI capabilities.

Researchers have demonstrated two deep learning tools aimed at uncovering the psychology of aging.

Only 19 of 159 radiation oncology professionals working across Canada, or 12%, feel they’re well-versed in AI. However, more than 90% are open to learning its ways.

Oxford researchers have developed and prospectively validated two AI tools that can quickly screen hospital patients for COVID-19 using routine clinical data.

Various scenarios within medical diagnostics are among the AI use cases that an official European watchdog has flagged as a potential source of hazards to fundamental human rights.

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.

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 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.

Around the web

Two different companies announced that they are recalling all lots of the medication. 

CardioSmart, an online resource for both patients and clinicians, has a new editor. 

The funding includes $8.5 billion in American Rescue Plan resources for providers who treat Medicaid, Children's Health Insurance Program and Medicare patients.

   
   
   
   
   
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