• Mashup Score: 4

    A strong interest in cardiac critical care and cardiogenic shock as well as patients with greater acuity were among the factors found to be of greater importance to fellows in training (FITs) interested in advanced heart failure/transplant cardiology (AHFTC) as a subspecialty, according to a survey published Oct. 8 in JACC: Heart Failure. In light of the continuing vacancy rate of 38% for AHFTC fellows for the past four years, Olivia Gilbert, MD, Msc, FACC, et al., conducted a 44-item survey to explore

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  • Mashup Score: 8

    With nearly 90% accuracy, an artificial intelligence-based model consistently predicted atrial fibrillation within 31 days among patients with sinus rhythm, according to findings published in JAMA Cardiology. The model was calibrated and trained using ECG data from multiple Veterans Affairs sites and externally validated using ECG data from Cedars-Sinai, according to the study.

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    • With nearly 90% accuracy, an artificial intelligence-based model consistently predicted #AFib within 31 days among patients with sinus rhythm @JAMACardio @David_Ouyang @SmidtHeart #CardioTwitter Read more 👇 https://t.co/HXG7Dwkoqu