Skip to content

Home Search Authors Pakistan News Saved

SciRah

SciRah does not host or store research papers. Results come live from free, official scholarly APIs, and every paper links back to its original source.

Data sources

OpenAlex
Semantic Scholar
Crossref
CORE
arXiv
PubMed

Privacy policy Terms of service

A. Beecy · SciRah

Researcher profile · Semantic Scholar

A. Beecy

Share profile

A. Beecy — researcher profile on SciRah

h-index: 17
Works: 57
Citations: 1,443

Most-cited papers

Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging.
S. Al'Aref, K. Anchouche, Gurpreet Singh, P. Slomka +18 more
2018European Heart Journal453 citations Open access
Semantic Scholar
Maximization of the usage of coronary CTA derived plaque information using a machine learning based algorithm to improve risk stratification; insights from the CONFIRM registry.
A. V. van Rosendael, Gabriel Maliakal, K. Kolli, A. Beecy +38 more
2018Journal of cardiovascular computed tomography164 citations Open access
Semantic Scholar
Detecting structural heart disease from electrocardiograms using AI
T. Poterucha, Linyuan Jing, Ramon Pimentel Ricart, Michael Adjei-Mosi +46 more
2025Nature127 citations
Semantic Scholar
Artificial Intelligence for Cardiovascular Care - Part 1: Advances: JACC Review Topic of the Week.
Pierre Elias, Sneha S. Jain, T. Poterucha, Michael Randazzo +17 more
2024Journal of the American College of Cardiology115 citations Open access
Semantic Scholar
Machine learning derived segmentation of phase velocity encoded cardiovascular magnetic resonance for fully automated aortic flow quantification
A. Bratt, Jiwon J. Kim, Meridith P. Pollie, A. Beecy +11 more
2019Journal of Cardiovascular Magnetic Resonance77 citations Open access
Semantic Scholar
Advances in Artificial Intelligence for Cardiovascular Care—Part 2: Latest Developments & Deployment in Clinical Care
Sneha S. Jain, Pierre Elias, T. Poterucha, Michael Randazzo +17 more
2024Journal of the American College of Cardiology64 citations Open access
Semantic Scholar
Rethinking clinical trials for medical AI with dynamic deployments of adaptive systems
J. Rosenthal, A. Beecy, M. Sabuncu
2025npj Digital Medicine58 citations Open access
Semantic Scholar
Deep Learning for Echo Analysis, Tracking, and Evaluation of Mitral Regurgitation (DELINEATE-MR)
Aaron Long, Christopher M. Haggerty, J. Finer, Dustin N. Hartzel +21 more
2024Circulation45 citations Open access
Semantic Scholar
Clinical and Socioeconomic Predictors of Heart Failure Readmissions: A Review of Contemporary Literature.
Amanda Su, S. Al'Aref, A. Beecy, J. Min +1 more
2019Mayo Clinic proceedings45 citations Open access
Semantic Scholar
Development of novel machine learning model for right ventricular quantification on echocardiography—A multimodality validation study
A. Beecy, A. Bratt, Brian Yum, Razia Sultana +5 more
2020Echocardiography27 citations Open access
Semantic Scholar
Deep learning for echocardiographic assessment and risk stratification of aortic, mitral, and tricuspid regurgitation: the DELINEATE-regurgitation study
Aaron Long, J. Finer, Heidi S. Hartman, D. Hartzel +21 more
2025European Heart Journal26 citations Open access
Semantic Scholar
Implementing AI Models in Clinical Workflows: A Roadmap
Fei Wang, A. Beecy
2024BMJ evidence-based medicine26 citations Open access
Semantic Scholar
Implications of Bias in Artificial Intelligence: Considerations for Cardiovascular Imaging
M. van Assen, A. Beecy, Gabrielle Gershon, Janice Newsome +2 more
2024Current Atherosclerosis Reports21 citations
Semantic Scholar
International partnership for governing generative artificial intelligence models in medicine
J. Ong, Yi-Lin Ning, G. Collins, D. Bitterman +29 more
2025Nature Medicine20 citations Open access
Semantic Scholar
A Novel Deep Learning Approach for Automated Diagnosis of Acute Ischemic Infarction on Computed Tomography.
A. Beecy, Qi Chang, K. Anchouche, L. Baskaran +12 more
2018JACC Cardiovascular Imaging20 citations Open access
Semantic Scholar
Preparing for the bedside—optimizing a postpartum depression risk prediction model for clinical implementation in a health system
Yifan Liu, Rochelle Joly, M. Reading Turchioe, Natalie C. Benda +4 more
2024J. Am. Medical Informatics Assoc.19 citations Open access
Semantic Scholar
Discharge Processes and 30-day Readmission Rates of Patients Hospitalized for Heart Failure on General Medicine and Cardiology Services
Brian M. Salata, M. Sterling, A. Beecy, Ajayram V Ullal +3 more
2018American Journal of Cardiology19 citations Open access
Semantic Scholar
The Chief Health AI Officer — An Emerging Role for an Emerging Technology
A. Beecy, Christopher A. Longhurst, Karandeep Singh, Robert M. Wachter +1 more
2024NEJM AI15 citations
Semantic Scholar
Implementation of a Machine Learning Risk Prediction Model for Postpartum Depression in the Electronic Health Records.
Yiye Zhang, Rochelle Joly, A. Beecy, Samen Principe +8 more
2024AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science13 citations
Semantic Scholar
Risk Reclassification With Coronary Computed Tomography Angiography-Visualized Nonobstructive Coronary Artery Disease According to 2018 American College of Cardiology/American Heart Association Cholesterol Guidelines (from the Coronary Computed Tomography Angiography Evaluation for Clinical Outcomes
Donghee Han, A. Beecy, K. Anchouche, H. Gransar +33 more
2019American Journal of Cardiology13 citations Open access
Semantic Scholar
Utilizing electronic health data and machine learning for the prediction of 30-day unplanned readmission or all-cause mortality in heart failure
A. Beecy, Manasa Gummalla, E. Sholle, Zhuo-Ran Xu +11 more
2020Cardiovascular Digital Health Journal12 citations Open access
Semantic Scholar
Strengthening the use of artificial intelligence within healthcare delivery organizations: balancing regulatory compliance and patient safety
M. Sendak, Vincent X. Liu, A. Beecy, David E. Vidal +7 more
2024J. Am. Medical Informatics Assoc.10 citations
Semantic Scholar
Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient Mortality
Hyun Lee, E. Sholle, A. Beecy, S. Al'Aref +1 more
2021North American Chapter of the Association for Computational Linguistics10 citations Open access
Semantic Scholar
Clinical Interventions in Aging Dovepress Patterns of Scheduled Follow-up Appointments following Hospitalization for Heart Failure: Insights from an Urban Medical Center in the United States
P. Goyal, M. Sterling, A. Beecy, J. Ruffino +4 more
9 citations
Semantic Scholar
Eliminating the AI digital divide by building local capacity
Freya Gulamali, Jee Young Kim, Kartik Pejavara, Ciera Thomas +43 more
2025PLOS Digital Health8 citations Open access
Semantic Scholar
Integrating trust into artificial intelligence for medicine: using diabetes as the exemplar disease
Mandy M. Shao, Agatha F. Scheideman, David Kerr, T. Wong +11 more
2026Journal of Translational Medicine4 citations Open access
Semantic Scholar
An artificial intelligence model to detect abnormal ejection fraction from non-contrast chest computed tomography: the CT–LVEF study
J. Raikhelkar, Zi-Long Bai, A. Beecy, Ilan Richter +19 more
2026European Heart Journal - Digital Health4 citations Open access
Semantic Scholar
Using electronic health records for population health sciences: a case study to evaluate the associations between changes in left ventricular ejection fraction and the built environment
Yiye Zhang, Mohammad Tayarani, S. Al'Aref, A. Beecy +7 more
2020JAMIA Open4 citations Open access
Semantic Scholar
Learning Disease Progression Models That Capture Health Disparities
Erica Chiang, D. Shanmugam, A. Beecy, G. Sayer +4 more
2024ACM Conference on Health, Inference, and Learning3 citations
Semantic Scholar
Association between epicardial fat volume and fractional flow reserve: An analysis of the determination of fractional flow reserve (DeFACTO) study.
A. Beecy, B. O. Hartaigh, Joshua Schulman-Marcus, K. Anchouche +6 more
2018Clinical imaging3 citations
Semantic Scholar
LONG-TERM CARDIOVASCULAR OUTCOMES IN PATIENTS WITH ANOMALOUS CORONARY ARTERIES WISUALIZED BY CORONARY CT ANGIOGRAPHY: THE CONFIRM (CORONARY CT ANGIOGRAPHY EVALUATION FOR CLINICAL OUTCOMES: AN INTERNATIONAL MULTICENTER) REGISTRY
S. Al'Aref, K. Anchouche, A. Beecy, H. Gransar +20 more
20173 citations Open access
Semantic Scholar
A Collaborative Best Practice Guide for Promoting AI Vendor Transparency in Health Care — The HAIP AI Vendor Disclosure Framework
S. Kpodzro, Jee Young Kim, Alifia Hasan, Ciera Thomas +12 more
2026NEJM AI2 citations Open access
Semantic Scholar
Predicting Cardiopulmonary Exercise Testing Performance in Patients Undergoing Transthoracic Echocardiography - An AI Based, Multimodal Model
S. Alishetti, W. Pan, A. Beecy, Z. Liu +17 more
2025medRxiv2 citations Open access
Semantic Scholar
DELINEATE-Regurgitation: deep learning for automated assessment of aortic, mitral, and tricuspid regurgitation from echocardiography
A. Long, C. Haggerty, D. Hartzel, L. Jing +11 more
2024European Heart Journal2 citations
Semantic Scholar
Abstract 14647: EchoNext: An ECG-Based Deep Learning Model to Detect Structural Heart Disease
Linyuan Jing, J. Finer, Dustin N. Hartzel, Christopher Kelsey +7 more
2023Circulation2 citations
Semantic Scholar
DEVELOPMENT OF A NOVEL DEEP LEARNING MODEL FOR RIGHT VENTRICULAR QUANTIFICATION ON ECHOCARDIOGRAPHY: A MULTIMODALITY VALIDATION STUDY
A. Beecy, A. Bratt, Lillian R. Brouwer, Javid Alakbarli +4 more
2019Journal of the American College of Cardiology2 citations Open access
Semantic Scholar
Health Systems Govern Only the Tip of the AI Iceberg
Erkin Ötleş, Sara G. Murray, A. Beecy, Alexander A. Khalessi +1 more
2026NEJM AI1 citations
Semantic Scholar
Cardio amyloid-artificial intelligence: advanced multi-modal screening for transthyretin cardiac amyloidosis in severe aortic stenosis patients
Nusrat Binta Nizam, A. Beecy, Jacob W. Groenendyk, Feng-Bei Liu +12 more
2026European Heart Journal - Digital Health1 citations Open access
Semantic Scholar
Making shiny objects illuminating: the promise and challenges of large language models in U.S. health systems
Rui Zhang, James Zou, A. Beecy, Yiye Zhang +3 more
2025npj Health Systems1 citations Open access
Semantic Scholar
DEEP LEARNING FOR ECHO ANALYSIS, TRACKING, AND EVALUATION OF MITRAL REGURGITATION PROGRESSION (DELINEATE-MR-PROGRESSION)
T. Poterucha, Aaron Long, J. Finer, D. Hartzel +19 more
2025Journal of the American College of Cardiology1 citations Open access
Semantic Scholar
Correction: Eliminating the AI digital divide by building local capacity
Freya Gulamali, Jee Young Kim, Kartik Pejavara, Ciera Thomas +43 more
2025PLOS Digital Health1 citations Open access
Semantic Scholar
Implementing epic fast pass for echocardiogram and endoscopy to improve healthcare access and utilization
A. Yin, Andrew M. Feigelman, Yahaira Delgado, Robert J. Min +4 more
2024npj Health Systems1 citations Open access
Semantic Scholar
Multimodal multi-instance learning for cardiopulmonary exercise testing performance prediction
Zhen-Sheng Huang, Wei-Shen Pan, Shudhanshu Alishetti, A. Beecy +17 more
2026npj Digit. Medicine0 citations Open access
Semantic Scholar
DELINEATE-MR: DEEP LEARNING FOR AUTOMATED ASSESSMENT OF MITRAL REGURGITATION FROM ECHOCARDIOGRAPHY
T. Poterucha, Aaron Long, Azadeh Keivani, Linyuan Jing +13 more
2024Journal of the American College of Cardiology0 citations Open access
Semantic Scholar
Abstract 4143939: A large-scale multi-view deep learning-based assessment of left ventricular ejection fraction in echocardiography
Linyuan Jing, Aaron Long, D. vanMaanen, Daniel Rocha +15 more
2024Circulation0 citations
Semantic Scholar
ECHOSTAR DEEP LEARNING SYSTEM: A COMPREHENSIVE ANALYSIS OF AORTIC VALVE FROM ECHO DOPPLER IMAGES
T. Poterucha, Azadeh Keivani, Aaron Long, D. vanMaanen +12 more
2024Journal of the American College of Cardiology0 citations Open access
Semantic Scholar
Abstract TP58: A Novel Deep Learning Approach for Automated Diagnosis of Cerebral Infarction on Computed Tomography
Ashley Knight‐Greenfield, A. Beecy, Qi Chang, K. Anchouche +12 more
20180 citations
Semantic Scholar
INCREMENTAL UTILITY OF CORONARY COMPUTED TOMOGRAPHIC ANGIOGRAPHY BEYOND CORONARY ARTERY CALCIUM SCORING FOR PREDICTING MAJOR ADVERSE CARDIAC EVENTS ACCORDING TO IMPAIRED RENAL FUNCTION: THE CONFIRM REGISTRY
J. H. Lee, Mahn-Won Park, B. O. Hartaigh, A. Rizvi +10 more
20170 citations Open access
Semantic Scholar
ATHEROSCLEROTIC CARDIOVASCULAR DISEASE RISK IN STATIN-NAÏVE ASYMPTOMATIC PATIENTS WITH NON-OBSTRUCTIVE CORONARY ARTERY DISEASE DETECTED BY CORONARY COMPUTED TOMOGRAPHIC ANGIOGRAPHY: THE CONFIRM-LT (CORONARY CT ANGIOGRAPHY EVALUATION FOR CLINICAL OUTCOMES: AN INTERNATIONAL MULTICENTER) REGISTRY
A. Beecy, Donghee Han, B. O. Hartaigh, K. Anchouche +9 more
20170 citations Open access
Semantic Scholar
PROGNOSTIC UTILITY OF CORONARY COMPUTED TOMOGRAPHIC ANGIOGRAPHY BEYOND CORONARY ARTERY CALCIUM SCORE IN DIABETIC PATIENTS WITH NO SYMPTOMS OR NON-TYPICAL CHEST PAIN: THE CONFIRM REGISTRY
Mahn-Won Park, J. H. Lee, B. O. Hartaigh, A. Rizvi +10 more
20170 citations Open access
Semantic Scholar

Frequent co-authors

Invite them to SciRah by sharing their profile.

S. Al'Aref×13
Invite
S. Al'Aref — researcher profile on SciRah
T. Poterucha×11
Invite
T. Poterucha — researcher profile on SciRah
J. Min×10
Invite
J. Min — researcher profile on SciRah
J. Ruhl×10
Invite
J. Ruhl — researcher profile on SciRah

×9

Invite

K. Anchouche — researcher profile on SciRah

D. Kumaraiah×9

Invite

D. Kumaraiah — researcher profile on SciRah

Invite

J. Peña — researcher profile on SciRah

Christopher M. Haggerty×8

Invite

Christopher M. Haggerty — researcher profile on SciRah

Invite

H. Gransar — researcher profile on SciRah

Linyuan Jing×7

Invite

Linyuan Jing — researcher profile on SciRah

Invite

J. Finer — researcher profile on SciRah

Invite

Aaron Long — researcher profile on SciRah