Ashley Beecy

Sutter Health — United States

Medicine · Health Sciences

16h-index1.3kcitations58works11.62yr avg
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Research Topics

Cardiac Imaging and Diagnostics(16), Artificial Intelligence in Healthcare and Education(12), Cardiovascular Function and Risk Factors(11), Heart Failure Treatment and Management(8), Cardiac Valve Diseases and Treatments(7)

Publications58 total

Integrating trust into artificial intelligence for medicine: using diabetes as the exemplar disease
Journal of Translational Medicine·2026Open Access
Bridging the Gap: Consensus-Based Considerations for AI Usefulness in Healthcare
The American Journal of Bioethics·2026
Correction: Eliminating the AI digital divide by building local capacity
PLOS Digital Health·2025Open Access
Eliminating the AI digital divide by building local capacity
PLOS Digital Health·2025· 1 citedOpen Access
Detecting structural heart disease from electrocardiograms using AI
Nature·2025· 34 citedOpen Access
Predicting Cardiopulmonary Exercise Testing Performance in Patients Undergoing Transthoracic Echocardiography - An AI Based, Multimodal Model
2025Open Access
International partnership for governing generative artificial intelligence models in medicine
Nature Medicine·2025· 5 cited
Rethinking clinical trials for medical AI with dynamic deployments of adaptive systems
npj Digital Medicine·2025· 23 citedOpen Access
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
Making shiny objects illuminating: the promise and challenges of large language models in U.S. health systems
npj Health Systems·2025· 1 citedOpen Access
An Artificial Intelligence Model to Detect Abnormal Ejection Fraction from Non-Contrast Chest Computed Tomography: The CT-LVEF study
2025Open Access
Implementing epic fast pass for echocardiogram and endoscopy to improve healthcare access and utilization
npj Health Systems·2024Open Access
Learning Disease Progression Models That Capture Health Disparities
arXiv (Cornell University)·2024Open Access
Abstract 4143939: A large-scale multi-view deep learning-based assessment of left ventricular ejection fraction in echocardiography
Circulation·2024
DELINEATE-Regurgitation: deep learning for automated assessment of aortic, mitral, and tricuspid regurgitation from echocardiography
European Heart Journal·2024· 1 cited
Epic Fast Pass for echocardiogram and endoscopy: an implementation report
2024Open Access
Implementing AI models in clinical workflows: a roadmap
BMJ evidence-based medicine·2024· 8 citedOpen Access
The Chief Health AI Officer — An Emerging Role for an Emerging Technology
NEJM AI·2024· 17 cited
Deep Learning for Echo Analysis, Tracking, and Evaluation of Mitral Regurgitation (DELINEATE-MR)
Circulation·2024· 40 citedOpen Access
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Frequent Co-authors

Subhi J. Al’Aref(17), James K. Min(14), Khalil Anchouche(13), Jessica M. Peña(12), Heidi Gransar(9), Fay Y. Lin(9), Pierre Elias(9), Timothy J. Poterucha(9), Donghee Han(9), Bríain ó Hartaigh(9), Hadi Mirhedayati Roudsari(8), Asim Rizvi(8), Mahn Won Park(8), Deepa Kumaraiah(6), Christopher M. Haggerty(6), Dustin N. Hartzel(6), Jeffrey Ruhl(6), Parag Goyal(6), Leslee J. Shaw(5), Erica C. Jones(5)