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Top Stories: Mount Sinai develops AI for electrocardiograms

The AI approach could improve the efficacy and accuracy of ECG assessment. The model enables interpretation of cardiac readings as language.
By Jeff Lagasse , Editor
Nurse at computer
Photo: Al David Sacks/Getty Images

Artificial intelligence has a new use case in healthcare. What is it, exactly? We'll shine a light on that and other new in this week's Top Stories, including a look at Medicaid disenrollments and Apple's new Watch update.

For more news and features from Jeff Lagasse, visit Healthcare Finance News.

In this episode:

 

Talking points:

  • The AI approach could vastly improve the efficacy and accuracy of ECG assessment, as the model enables interpretation of cardiac readings as language.
  • This approach can enhance both the accuracy and efficacy of ECG-related diagnoses, said Mount Sinai clinicians.
  • Early data shows that more than half a million enrollees have already been disenrolled from Medicaid, with close to 250,000 in Florida alone.
  • The Apple watchOS 10 will include new mental health, vision health and fitness tools. 

Twitter: @JELagasse
Email the writer: Jeff.Lagasse@himssmedia.com