Ashley Beecy - Concepedia

Author

Ashley Beecy

Cornell University ORCID

Also Known As

A Beecy, Ashley Beecy, Ashley N Beecy, Ashley N. Beecy, Beecy, Ashley, Beecy, Ashley N.

Publications

1.3K

Citations

H-Index

Concepts

All Affiliations

Cornell University Weill Cornell Medicine New York Hospital Queens Presbyterian Hospital NewYork–Presbyterian Hospital

About

Ashley Beecy is an author at Cornell University specializing in cardiology, cardiovascular disease, and coronary heart disease.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	2	2	183
2	Public Health	2	2	180
3	Epidemiology	2	2	180
4	Health Sciences	1	1	16
5	Emergency Medicine	1	1	19

Ashley Beecy

Publications

460

Citations

H-Index

Page 1

	Year	Citations
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 Alexander R. van Rosendael, Gabriel Maliakal, Kranthi K. Kolli, Journal of cardiovascular computed tomography EpidemiologyMachine LearningCardiovascular DiseasePlaque InformationCoronary Unit	2018	164
Machine learning derived segmentation of phase velocity encoded cardiovascular magnetic resonance for fully automated aortic flow quantification Alex Bratt, Jiwon Kim, Meridith Pollie, Journal of Cardiovascular Magnetic Resonance	2019	87
Deep Learning for Echo Analysis, Tracking, and Evaluation of Mitral Regurgitation (DELINEATE-MR) Aaron S. Long, Christopher M. Haggerty, Joshua Finer, Circulation	2024	40
Detecting structural heart disease from electrocardiograms using AI Timothy J. Poterucha, Linyuan Jing, Michael Adjei-Mosi, Nature	2025	34
Development of novel machine learning model for right ventricular quantification on echocardiography—A multimodality validation study Ashley Beecy, Alex Bratt, Brian Yum, Echocardiography	2020	23
Discharge Processes and 30-Day Readmission Rates of Patients Hospitalized for Heart Failure on General Medicine and Cardiology Services Brian Salata, Madeline R. Sterling, Ashley Beecy, The American Journal of Cardiology Heart FailureCardiovascular Disease30-Day Readmission RatesPatient SafetyCardiac Care	2018	19
Utilizing electronic health data and machine learning for the prediction of 30-day unplanned readmission or all-cause mortality in heart failure Ashley Beecy, Manasa Gummalla, Evan Sholle, Cardiovascular Digital Health Journal	2020	18
The Chief Health AI Officer — An Emerging Role for an Emerging Technology Ashley Beecy, Chris Longhurst, Karandeep Singh, NEJM AI	2024	17
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 : An International Multicenter Registry [CONFIRM]) Donghee Han, Ashley Beecy, Khalil Anchouche, The American Journal of Cardiology Preventive CardiologyCoronary Artery DiseaseRisk ReclassificationClinical EpidemiologyVascular Imaging	2019	16
Preparing for the bedside—optimizing a postpartum depression risk prediction model for clinical implementation in a health system Yifan Liu, Rochelle Joly, Meghan Reading Turchioe, Journal of the American Medical Informatics Association	2024	16

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