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    Health & Fitness

    JACC Specialty Journals

    In this podcast series, editors-in-chief from the JACC family of specialty journals provide highlights and summarize key findings for select issues. Published by the American College of Cardiology, the JACC Journals publish peer-reviewed articles on all aspects of cardiovascular disease, including original clinical studies, translational investigations with clear clinical relevance, state-of-the art papers, and review articles. They are top ranked for impact factor and their manuscripts are among the most covered by media outlets, most talked about on social media, and most read online.

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    Latest Episodes:
    JACC: Advances - An Artificial Intelligence Algorithm for Detection of Severe Aortic Stenosis: A Clinical Cohort Study Sep 25, 2024
    Show notes

    Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances discusses a recently published original research paper about a clinical cohort study using an artificial intelligence algorithm for detection of severe aortic stenosis.

    JACC: Advances - Machine Learning Prediction for Prognosis of Patients With Aortic Stenosis Sep 25, 2024
    Show notes

    Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances discusses a recently published original research paper on machine learning prediction for prognosis of patients with aortic stenosis.

    JACC: Advances - Coronary Artery Stenosis and High-Risk Plaque Assessed With an Unsupervised Fully Automated Deep Learning Technique Sep 25, 2024
    Show notes

    Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances discusses a recently published original research paper on coronary artery stenosis and high-risk plaque assessed with an unsupervised fully automated deep learning technique.

    JACC: Advances - Machine-Learning for Phenotyping and Prognostication of Myocardial Infarction and Injury in Suspected Acute Coronary Syndrome Sep 25, 2024
    Show notes

    Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances discusses a recently published original research paper on machine-learning for phenotyping and prognostication of myocardial infarction and injury in suspected acute coronary syndrome.

    JACC: Advances - Digital Twin in Managing Hypertension Among People With Type 2 Diabetes: 1-Year Randomized Controlled Trial Sep 25, 2024
    Show notes

    Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances discusses a recently published original research paper on a 1-year randomized controlled trial of a digital twin in managing hypertension among people with Type 2 diabetes.

    JACC: Advances - Implications of Diagnosis Through a Machine Learning Algorithm on Management of People With Familial Hypercholesterolemia Sep 25, 2024
    Show notes

    Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances discusses a recently published original research paper about implications of diagnosis through a machine learning algorithm on management of people with familial hypercholesterolemia.

    JACC: Advances - Mortality Risk Stratification Utilizing Artificial Intelligence Electrocardiogram for Hyperkalemia in Cardiac Intensive Care Unit Patients Sep 25, 2024
    Show notes

    Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances discusses a recently published original research paper on mortality risk stratification utilizing artificial intelligence electrocardiogram for hyperkalemia in cardiac ICU Patients.

    JACC: Advances - Artificial Intelligence–Enhanced Electrocardiography Identifies Patients With Normal Ejection Fraction at Risk of Worse Outcomes Sep 25, 2024
    Show notes

    Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances discusses a recently published original research paper on Identifing patients with normal ejection fraction at risk of worse outcomes using AI–enhanced electrocardiography.

    JACC: Advances - Automated Assessment of Right Atrial Pressure From Ultrasound Videos Using Machine Learning Sep 25, 2024
    Show notes

    Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances discusses a recently published original research paper on automated assessment of right atrial pressure from ultrasound videos using machine learning.

    JACC: Advances - Echocardiogram Vector Embeddings Via R3D Transformer for the Advancement of Automated Echocardiography Sep 25, 2024
    Show notes

    Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances, discusses a recently published original research paper on echocardiogram vector embeddings via R3D transformer for the advancement of automated echocardiography.

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