Healthcare IT News January 25, 2022
Kat Jercich

Researchers leveraged technologies to mine the electronic health records of millions of patients and examine the effects of different comorbidities on heart disease.

Researchers from the University of Utah and Intermountain Primary Children’s Hospital recently developed artificial intelligence tools to help predict the onset and outcomes of cardiovascular disease.

In a study published this week in PLOS Digital Health, the scientists explained that they used machine learning software to mine the de-identified electronic health records of millions of patients.  

They then identified the effects of comorbid conditions and demography on cardiovascular health.  

“We can turn to AI to help refine the risk for virtually every medical diagnosis,” said Dr. Martin Tristani-Firouzi, the study’s corresponding author and a pediatric...

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