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Lovedeep Singh Dhingra

Associate Research Scientist

Yale University

United States

Research Interests

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Articles (20)

Collaborators (6)

Elijah Rockers

Houston Methodist Research Institute

UNITED STATES

Harlan Krumholz

Professor of Medicine

Yale University

UNITED STATES

Evangelos Oikonomou

Assistant Professor

Yale University

UNITED STATES

Hak Seung Lee

Seoul National University Hospital

Bruno Batinica

Yale University

UNITED STATES

Kenneth Man

University College London

UNITED KINGDOM

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Lovedeep Singh Dhingra

Research Interests

Make your next move.

Explore related searches

Articles (20)

Collaborators (6)

Elijah Rockers

Harlan Krumholz

Evangelos Oikonomou

Hak Seung Lee

Bruno Batinica

Kenneth Man

Make your next move.

Lovedeep Singh Dhingra

Research Interests

Make your next move.

Explore related searches

Articles (20)

Artificial Intelligence-Enhanced Electrocardiogram Models for Detection of Left Ventricular Dysfunction A Comparison Study

TARGET-AI: A Foundational Approach for the Targeted Deployment of Artificial Intelligence Electrocardiography in the Electronic Health Record

Development and multinational validation of artificial intelligence-enabled ASCVD risk stratification using electrocardiograms

Open science requires trust and rigour: a framework for responsible evaluation of shared AI-ECG tools

Artificial intelligence-based automated interpretation of images of electrocardiograms: development and multinational validation of ECG-GPT

Comparative Cardiovascular Effectiveness of Glucagon-Like Peptide 1 Receptor Agonists and Sodium-Glucose Cotransporter 2 Inhibitors in Diabetes Mellitus

Evaluating the Accessibility of Transcatheter and Surgical Aortic Valve Replacement Across the US Via Driving-Times

A real-world evaluation of longitudinal healthcare expenses in a health system registry of type-2 diabetes mellitus and cardiovascular disease enabled by the 21st century cures act

Artificial Intelligence Electrocardiogram Risk Tool—Reply

Artificial Intelligence-enhanced Electrocardiography for Heart Failure Screening and Risk Stratification

Artificial intelligence-enabled electrocardiography to triage echocardiography for structural heart disease diagnosis in a low-resource setting

Follow-Up Assessment of Adherence to Methodological Standards in National Inpatient Sample Research

Real-world evidence for comparative safety of second-line antihyperglycemic agents in older adults with type 2 diabetes

The Evolving Utility of Artificial Intelligence-Based Tools for the Detection of Heart Failure and Cardiomyopathies: From Potential to Implementation

Use of Social Media for Health Information Among US Adults

Wearable Devices and Data Sharing in the US

Phenotypic Selectivity of Artificial Intelligence-enhanced Electrocardiography in Cardiovascular Diagnosis and Risk Prediction

Computational Phenomapping of Randomized Clinical Trial Participants to Enable Assessment of Their Real-World Representativeness and Personalized Inference

Identification of hypertrophic cardiomyopathy on electrocardiographic images with deep learning

Ensemble Deep Learning Algorithm for Structural Heart Disease Screening Using Electrocardiographic Images

Collaborators (6)

Elijah Rockers

Harlan Krumholz

Evangelos Oikonomou

Hak Seung Lee

Bruno Batinica

Kenneth Man

Make your next move.