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Akhil Vaid

Showing results (21-30 of 67) with videos related to

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Ebiomedicine|January 4, 2026
Automated diagnosis of chronic obstructive pulmonary disease using deep learning applied to electrocardiogramsAkhil Vaid, Jiya Sharma, Joy Jiang, et al.
NPJ Digital Medicine|November 18, 2024
A strategy for cost-effective large language model use at health system-scaleEyal Klang, Donald Apakama, Ethan E Abbott, et al.
Journal of the American Medical Informatics Association : JAMIA|May 21, 2024
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency roomBenjamin S Glicksberg, Prem Timsina, Dhaval Patel, et al.
Circulation|February 5, 2024
Pediatric ECG-Based Deep Learning to Predict Left Ventricular Dysfunction and RemodelingJoshua Mayourian, William G La Cava, Akhil Vaid, et al.
NPJ Digital Medicine|August 24, 2024
Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse populationJoy Jiang, Ha My Thi Vy, Alexander Charney, et al.
JACC. Clinical Electrophysiology|July 22, 2023
A Novel ECG-Based Deep Learning Algorithm to Predict Cardiomyopathy in Patients With Premature Ventricular ComplexesJoshua Lampert, Akhil Vaid, William Whang, et al.
American Heart Journal Plus : Cardiology Research and Practice|February 15, 2023
Short-term prediction of coronary artery disease using serum metabolomic patternsBen Omega Petrazzini, Akhil Vaid, Joshua K Park, et al.
Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology|February 10, 2021
Deep learning and the electrocardiogram: review of the current state-of-the-artSulaiman Somani, Adam J Russak, Felix Richter, et al.
Medrxiv : the Preprint Server for Health Sciences|February 26, 2024
Automated Diagnostic Reports from Images of Electrocardiograms at the Point-of-CareAkshay Khunte, Veer Sangha, Evangelos K Oikonomou, et al.
Medrxiv : the Preprint Server for Health Sciences|August 3, 2021
Development of a federated learning approach to predict acute kidney injury in adult hospitalized patients with COVID-19 in New York CitySuraj K Jaladanki, Akhil Vaid, Ashwin S Sawant, et al.
Pageof 7

Showing results (21-30 of 67) with videos related to

Sort By:
Pageof 7
Ebiomedicine|January 4, 2026
Automated diagnosis of chronic obstructive pulmonary disease using deep learning applied to electrocardiogramsAkhil Vaid, Jiya Sharma, Joy Jiang, et al.
NPJ Digital Medicine|November 18, 2024
A strategy for cost-effective large language model use at health system-scaleEyal Klang, Donald Apakama, Ethan E Abbott, et al.
Journal of the American Medical Informatics Association : JAMIA|May 21, 2024
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency roomBenjamin S Glicksberg, Prem Timsina, Dhaval Patel, et al.
Circulation|February 5, 2024
Pediatric ECG-Based Deep Learning to Predict Left Ventricular Dysfunction and RemodelingJoshua Mayourian, William G La Cava, Akhil Vaid, et al.
NPJ Digital Medicine|August 24, 2024
Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse populationJoy Jiang, Ha My Thi Vy, Alexander Charney, et al.
JACC. Clinical Electrophysiology|July 22, 2023
A Novel ECG-Based Deep Learning Algorithm to Predict Cardiomyopathy in Patients With Premature Ventricular ComplexesJoshua Lampert, Akhil Vaid, William Whang, et al.
American Heart Journal Plus : Cardiology Research and Practice|February 15, 2023
Short-term prediction of coronary artery disease using serum metabolomic patternsBen Omega Petrazzini, Akhil Vaid, Joshua K Park, et al.
Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology|February 10, 2021
Deep learning and the electrocardiogram: review of the current state-of-the-artSulaiman Somani, Adam J Russak, Felix Richter, et al.
Medrxiv : the Preprint Server for Health Sciences|February 26, 2024
Automated Diagnostic Reports from Images of Electrocardiograms at the Point-of-CareAkshay Khunte, Veer Sangha, Evangelos K Oikonomou, et al.
Medrxiv : the Preprint Server for Health Sciences|August 3, 2021
Development of a federated learning approach to predict acute kidney injury in adult hospitalized patients with COVID-19 in New York CitySuraj K Jaladanki, Akhil Vaid, Ashwin S Sawant, et al.
Pageof 7