Deep Learning-Based Electrocardiogram Analysis Predicts Biventricular Dysfunction And Dilation In Congenital Heart Disease JACC podcast

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Cardiology Cardiovascular Clinicalpractice Heart Medical Fitness Science Medicine American College Of Cardiology Doctor Who Clinicians Hospitality Patient Physicians

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Deep Learning-Based Electrocardiogram Analysis Predicts Biventricular Dysfunction and Dilation in Congenital Heart Disease

2M ago 11:27

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Indhold leveret af American College of Cardiology. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af American College of Cardiology eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Dr. Valentin Fuster evaluates a deep learning model designed to predict left and right ventricular dysfunction and dilation in congenital heart disease patients using ECG and CMR data. The research demonstrated that AI ECG can reliably identify significant cardiovascular issues, though future work should focus on refining thresholds and validating the model across diverse populations and healthcare settings.

… continue reading

1085 episoder

#Cardiology #Cardiovascular #Clinicalpractice #Heart #Medical #Fitness #Science #Medicine #American College Of Cardiology #Doctor Who #Clinicians #Hospitality #Patient #Physicians

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Deep Learning-Based Electrocardiogram Analysis Predicts Biventricular Dysfunction and Dilation in Congenital Heart Disease

184 subscribers

published 2M ago

Del

MP3•Episode hjem

Indhold leveret af American College of Cardiology. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af American College of Cardiology eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Dr. Valentin Fuster evaluates a deep learning model designed to predict left and right ventricular dysfunction and dilation in congenital heart disease patients using ECG and CMR data. The research demonstrated that AI ECG can reliably identify significant cardiovascular issues, though future work should focus on refining thresholds and validating the model across diverse populations and healthcare settings.

… continue reading

1085 episoder

#Cardiology #Cardiovascular #Clinicalpractice #Heart #Medical #Fitness #Science #Medicine #American College Of Cardiology #Doctor Who #Clinicians #Hospitality #Patient #Physicians

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