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Itzhak Zachi Attia

Showing results (1-10 of 14) with videos related to

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Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association|July 25, 2021
Artificial Intelligence-Enabled ECG to Identify Silent Atrial Fibrillation in Embolic Stroke of Unknown SourceAlejandro A Rabinstein, Micah D Yost, Louis Faust, et al.
Headache|February 20, 2026
Higher artificial intelligence-ECG atrial fibrillation prediction model output and estimated physiologic aging predict higher risk of adverse vascular events in patients with migrainePing-Hao Yang, Nan Zhang, Chieh-Ju Chao, et al.
Mayo Clinic Proceedings|June 12, 2021
Cost Effectiveness of an Electrocardiographic Deep Learning Algorithm to Detect Asymptomatic Left Ventricular DysfunctionAndrew S Tseng, Viengneesee Thao, Bijan J Borah, et al.
Mayo Clinic Proceedings|June 14, 2021
Artificial Intelligence-Augmented Electrocardiogram Detection of Left Ventricular Systolic Dysfunction in the General PopulationAnthony H Kashou, Jose R Medina-Inojosa, Peter A Noseworthy, et al.
NPJ Digital Medicine|July 2, 2024
Pediatric sex estimation using AI-enabled ECG analysis: influence of pubertal developmentDonnchadh O'Sullivan, Scott Anjewierden, Grace Greason, et al.
Heart Rhythm|May 26, 2024
Machine learning for prediction of ventricular arrhythmia episodes from intracardiac electrograms of automatic implantable cardioverter-defibrillatorsYong-Mei Cha, Itzhak Zachi Attia, Coby Metzger, et al.
Journal of the American Heart Association|November 4, 2024
Detection of Right and Left Ventricular Dysfunction in Pediatric Patients Using Artificial Intelligence-Enabled ECGsScott Anjewierden, Donnchadh O'Sullivan, Kathryn E Mangold, et al.
Clinical Gastroenterology and Hepatology : the Official Clinical Practice Journal of the American Gastroenterological Association|August 29, 2024
Performance of AI-Enabled Electrocardiogram in the Prediction of Metabolic Dysfunction-Associated Steatotic Liver DiseaseProwpanga Udompap, Kan Liu, Itzhak Zachi Attia, et al.
JACC. Advances|May 15, 2025
Artificial Intelligence-Derived Electrocardiographic Age Predicts Mortality in Adults With Congenital Heart DiseaseScott Anjewierden, Donnchadh O'Sullivan, Kathryn E Mangold, et al.
Journal of the American Heart Association|January 19, 2024
Artificial Intelligence of Arterial Doppler Waveforms to Predict Major Adverse Outcomes Among Patients Evaluated for Peripheral Artery DiseaseRobert D McBane, Dennis H Murphree, David Liedl, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association|July 25, 2021
Artificial Intelligence-Enabled ECG to Identify Silent Atrial Fibrillation in Embolic Stroke of Unknown SourceAlejandro A Rabinstein, Micah D Yost, Louis Faust, et al.
Headache|February 20, 2026
Higher artificial intelligence-ECG atrial fibrillation prediction model output and estimated physiologic aging predict higher risk of adverse vascular events in patients with migrainePing-Hao Yang, Nan Zhang, Chieh-Ju Chao, et al.
Mayo Clinic Proceedings|June 12, 2021
Cost Effectiveness of an Electrocardiographic Deep Learning Algorithm to Detect Asymptomatic Left Ventricular DysfunctionAndrew S Tseng, Viengneesee Thao, Bijan J Borah, et al.
Mayo Clinic Proceedings|June 14, 2021
Artificial Intelligence-Augmented Electrocardiogram Detection of Left Ventricular Systolic Dysfunction in the General PopulationAnthony H Kashou, Jose R Medina-Inojosa, Peter A Noseworthy, et al.
NPJ Digital Medicine|July 2, 2024
Pediatric sex estimation using AI-enabled ECG analysis: influence of pubertal developmentDonnchadh O'Sullivan, Scott Anjewierden, Grace Greason, et al.
Heart Rhythm|May 26, 2024
Machine learning for prediction of ventricular arrhythmia episodes from intracardiac electrograms of automatic implantable cardioverter-defibrillatorsYong-Mei Cha, Itzhak Zachi Attia, Coby Metzger, et al.
Journal of the American Heart Association|November 4, 2024
Detection of Right and Left Ventricular Dysfunction in Pediatric Patients Using Artificial Intelligence-Enabled ECGsScott Anjewierden, Donnchadh O'Sullivan, Kathryn E Mangold, et al.
Clinical Gastroenterology and Hepatology : the Official Clinical Practice Journal of the American Gastroenterological Association|August 29, 2024
Performance of AI-Enabled Electrocardiogram in the Prediction of Metabolic Dysfunction-Associated Steatotic Liver DiseaseProwpanga Udompap, Kan Liu, Itzhak Zachi Attia, et al.
JACC. Advances|May 15, 2025
Artificial Intelligence-Derived Electrocardiographic Age Predicts Mortality in Adults With Congenital Heart DiseaseScott Anjewierden, Donnchadh O'Sullivan, Kathryn E Mangold, et al.
Journal of the American Heart Association|January 19, 2024
Artificial Intelligence of Arterial Doppler Waveforms to Predict Major Adverse Outcomes Among Patients Evaluated for Peripheral Artery DiseaseRobert D McBane, Dennis H Murphree, David Liedl, et al.
Pageof 2