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Cardiovascular Digital Health Journal
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April 27, 2023
Artificial intelligence-enabled classification of hypertrophic heart diseases using electrocardiograms
Julian S Haimovich, Nate Diamant, Shaan Khurshid, et al.
Medrxiv : the Preprint Server for Health Sciences
|
August 26, 2024
Deep learning-derived splenic radiomics, genomics, and coronary artery disease
Meghana Kamineni, Vineet Raghu, Buu Truong, et al.
NPJ Digital Medicine
|
February 22, 2025
A deep learning digital biomarker to detect hypertension and stratify cardiovascular risk from the electrocardiogram
Mostafa A Al-Alusi, Samuel F Friedman, Shinwan Kany, et al.
JACC. Advances
|
August 12, 2024
Frequency of Electrocardiogram-Defined Cardiac Conduction Disorders in a Multi-Institutional Primary Care Cohort
Julian S Haimovich, Paolo Di Achille, Victor Nauffal, et al.
JACC. Advances
|
August 1, 2025
Electrocardiogram-Based Artificial Intelligence to Identify Coronary Artery Disease
Shinwan Kany, Samuel F Friedman, Mostafa Al-Alusi, et al.
Journal of the American College of Cardiology
|
November 8, 2023
Deep Learning-Enabled Assessment of Left Heart Structure and Function Predicts Cardiovascular Outcomes
Emily S Lau, Paolo Di Achille, Kavya Kopparapu, et al.
JACC. Cardiovascular Imaging
|
October 1, 2025
A Deep Learning Model to Identify Mitral Valve Prolapse From the Echocardiogram
Mostafa A Al-Alusi, Emily S Lau, Aeron M Small, et al.
JAMA Cardiology
|
November 11, 2023
Natural Language Processing for Adjudication of Heart Failure in a Multicenter Clinical Trial: A Secondary Analysis of a Randomized Clinical Trial
Jonathan W Cunningham, Pulkit Singh, Christopher Reeder, et al.
Medrxiv : the Preprint Server for Health Sciences
|
September 4, 2023
Natural Language Processing for Adjudication of Heart Failure Hospitalizations in a Multi-Center Clinical Trial
Jonathan W Cunningham, Pulkit Singh, Christopher Reeder, et al.
Circulation
|
November 8, 2021
ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation
Shaan Khurshid, Samuel Friedman, Christopher Reeder, et al.
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of 3
Search research articles
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Showing results (11-20 of 27) with videos related to
Sort By:
Page
of 3
Cardiovascular Digital Health Journal
|
April 27, 2023
Artificial intelligence-enabled classification of hypertrophic heart diseases using electrocardiograms
Julian S Haimovich, Nate Diamant, Shaan Khurshid, et al.
Medrxiv : the Preprint Server for Health Sciences
|
August 26, 2024
Deep learning-derived splenic radiomics, genomics, and coronary artery disease
Meghana Kamineni, Vineet Raghu, Buu Truong, et al.
NPJ Digital Medicine
|
February 22, 2025
A deep learning digital biomarker to detect hypertension and stratify cardiovascular risk from the electrocardiogram
Mostafa A Al-Alusi, Samuel F Friedman, Shinwan Kany, et al.
JACC. Advances
|
August 12, 2024
Frequency of Electrocardiogram-Defined Cardiac Conduction Disorders in a Multi-Institutional Primary Care Cohort
Julian S Haimovich, Paolo Di Achille, Victor Nauffal, et al.
JACC. Advances
|
August 1, 2025
Electrocardiogram-Based Artificial Intelligence to Identify Coronary Artery Disease
Shinwan Kany, Samuel F Friedman, Mostafa Al-Alusi, et al.
Journal of the American College of Cardiology
|
November 8, 2023
Deep Learning-Enabled Assessment of Left Heart Structure and Function Predicts Cardiovascular Outcomes
Emily S Lau, Paolo Di Achille, Kavya Kopparapu, et al.
JACC. Cardiovascular Imaging
|
October 1, 2025
A Deep Learning Model to Identify Mitral Valve Prolapse From the Echocardiogram
Mostafa A Al-Alusi, Emily S Lau, Aeron M Small, et al.
JAMA Cardiology
|
November 11, 2023
Natural Language Processing for Adjudication of Heart Failure in a Multicenter Clinical Trial: A Secondary Analysis of a Randomized Clinical Trial
Jonathan W Cunningham, Pulkit Singh, Christopher Reeder, et al.
Medrxiv : the Preprint Server for Health Sciences
|
September 4, 2023
Natural Language Processing for Adjudication of Heart Failure Hospitalizations in a Multi-Center Clinical Trial
Jonathan W Cunningham, Pulkit Singh, Christopher Reeder, et al.
Circulation
|
November 8, 2021
ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation
Shaan Khurshid, Samuel Friedman, Christopher Reeder, et al.
Page
of 3