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Communications Medicine|February 14, 2023
Multi-center retrospective cohort study applying deep learning to electrocardiograms to identify left heart valvular dysfunctionAkhil Vaid, Edgar Argulian, Stamatios Lerakis, 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.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|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.Heart Rhythm O2|July 10, 2024
Short-term safety and feasibility of a practical approach to combined atrial and ventricular physiological pacing: An initial single-center experienceKeita Watanabe, Moritz Nies, William Whang, et al.Heart (British Cardiac Society)|April 16, 2025
Clinical implementation of an AI-enabled ECG for hypertrophic cardiomyopathy detectionChristopher J Love, Joshua Lampert, David Huneycutt, 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.Medrxiv : the Preprint Server for Health Sciences|May 10, 2023
Quantitative prediction of right ventricular and size and function from the electrocardiogramSon Q Duong, Akhil Vaid, Ha My Thi Vy, et al.Journal of the American Heart Association|December 29, 2023
Quantitative Prediction of Right Ventricular Size and Function From the ECGSon Q Duong, Akhil Vaid, Vy Thi Ha My, et al.Medrxiv : the Preprint Server for Health Sciences|June 4, 2026
Evaluating Sycophancy in Frontier Models Using Persona-Driven ChallengeNimay Sanjay Hazare, Neha Goel, Clara Yu, et al.Pageof 3