Timothy J. Poterucha

Columbia University Irving Medical Center — United States

Medicine · Health Sciences

25h-index1.9kcitations78works8.32yr avg
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Research Topics

Cardiac Imaging and Diagnostics(14), Amyloidosis: Diagnosis, Treatment, Outcomes(13), COVID-19 Clinical Research Studies(10), Cardiovascular Function and Risk Factors(10), Cardiac Valve Diseases and Treatments(9)

Publications78 total

Artificial Intelligence-Enabled Electrocardiography in Practice: A State-of-the-Art Review
Korean Circulation Journal·2026Open Access
Current and future use of artificial intelligence in valvular heart disease imaging
European Heart Journal - Cardiovascular Imaging·2025
Detecting Transthyretin Cardiac Amyloidosis With Artificial Intelligence
JAMA Cardiology·2025· 1 citedOpen Access
Seeing the Aging Heart: Multimodal AI Quantifies Cardiac Biological Aging from Angiography, Echocardiography, and ECG
2025Open Access
TCT-71 Detection of Light Chain Amyloidosis Cardiomyopathy (AL-CM) by Artificial Intelligence Analysis of ECG and Echocardiography
Journal of the American College of Cardiology·2025
Association of Maternal Cardiac Disease and Echocardiographic Parameters With Neonatal Outcomes
The American Journal of Cardiology·2025
Seeing Is Believing
Journal of the American College of Cardiology·2025· 2 cited
Moving Beyond the Model
Journal of the American College of Cardiology·2025· 4 cited
PRIME 2.0: Proposed Requirements for Cardiovascular Imaging-Related Multimodal-AI Evaluation
JACC. Cardiovascular imaging·2025· 5 citedOpen Access
366 Validation of a Deep Learning Model to Predict Echocardiography Findings Using an EKG in Syncope
Annals of Emergency Medicine·2025Open Access
Detecting structural heart disease from electrocardiograms using AI
Nature·2025· 34 citedOpen Access
A View-Agnostic Deep Learning Framework for Comprehensive Analysis of 2D-Echocardiography
2025· 1 citedOpen Access
Early Detection of Transthyretin Cardiac Amyloidosis Using 124I-Evuzamitide Positron Emission Tomography/Computed Tomography
JACC. Cardiovascular imaging·2025· 12 cited
DEEP LEARNING FOR ECHO ANALYSIS, TRACKING, AND EVALUATION OF MITRAL REGURGITATION PROGRESSION (DELINEATE-MR-PROGRESSION)
Journal of the American College of Cardiology·2025Open Access
Deep learning for echocardiographic assessment and risk stratification of aortic, mitral, and tricuspid regurgitation: the DELINEATE-regurgitation study
European Heart Journal·2025· 14 citedOpen Access
An Artificial Intelligence Model to Detect Abnormal Ejection Fraction from Non-Contrast Chest Computed Tomography: The CT-LVEF study
2025Open Access
Novel technology, novel challenges: How do we compare the performance of artificial intelligence to human experts?
European Heart Journal·2025· 1 cited
Abstract 4143939: A large-scale multi-view deep learning-based assessment of left ventricular ejection fraction in echocardiography
Circulation·2024
Abstract 4147920: Optimal Approach to Generate Patient-Level Decision from Study-Level Predictions Using a Multimodal Deep Learning Model for Detecting Transthyretin Cardiac Amyloidosis
Circulation·2024
Socioeconomic Disparities Are Associated With Delayed Access to Tafamidis in Transthyretin Cardiac Amyloidosis
Circulation Heart Failure·2024· 1 citedOpen Access
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Frequent Co-authors

Pierre Elias(28), Andrew J. Einstein(18), Mathew S. Maurer(12), Nir Uriel(9), Allan Schwartz(9), Martin B. Leon(8), Elaine Y. Wan(8), Deepa Kumaraiah(7), Sneha S. Jain(7), Ersilia M. DeFilippis(6), Joshua Finer(6), Adler Perotte(6), David Ouyang(6), Ashley Beecy(6), José Dizon(6), Christopher M. Haggerty(6), Mahesh V. Madhavan(5), Björn Redfors(5), Daniel Burkhoff(5), Ajay J. Kirtane(5)