AshleyBeecyMD

PubMed

• Preparing for the bedside-optimizing a postpartum depression risk prediction model for clinical implementation in a health system.
  Yifan Liu, Meghan Reading Turchioe, Natalie Benda, Jyotishman Pathak, Yiye Zhang, Rochelle Joly, Alison Hermann, Ashley Beecy> ;Journal of the American Medical Informatics Association. 2024 Mar 26
• Artificial Intelligence in Cardiovascular Care - Part 2: Applications: JACC Review Topic of the Week.
  Sneha Jain, Pierre Elias, Timothy Poterucha, Michael Randazzo, Francisco Lopez Jimenez, Rohan Khera, Marco Perez, David Ouyang, James Pirruccello, Michael Salerno, And...> ;Journal of the American College of Cardiology. 2024 Mar 26
• Artificial Intelligence for Cardiovascular Care - Part 1: Advances: JACC Review Topic of the Week.
  Pierre Elias, Sneha Jain, Timothy Poterucha, Michael Randazzo, Francisco Lopez Jimenez, Rohan Khera, Marco Perez, David Ouyang, James Pirruccello, Michael Salerno, And...> ;Journal of the American College of Cardiology. 2024 Mar 26
• Implications of Bias in Artificial Intelligence: Considerations for Cardiovascular Imaging.
  Marly van Assen, Ashley Beecy, Gabrielle Gershon, Janice Newsome, Hari Trivedi, Judy Gichoya> ;Current Atherosclerosis Reports. 2024 Apr 1
• 4 citations
  Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient Mortality.
  Hyun Gi Lee, Evan Sholle, Ashley Beecy, Subhi Al'Aref, Yifan Peng> ;Proceedings of the Conference. Association for Computational Linguistics. North American Chapter. Meeting. 2021 Jun 1
• 3 citations
  Using electronic health records for population health sciences: a case study to evaluate the associations between changes in left ventricular ejection fraction and the...
  Yiye Zhang, Mohammad Tayarani, Subhi J. Al'Aref, Ashley Beecy, Yifan Liu, Evan Sholle, Arindam RoyChoudhury, Kelly Axsom, Huaizhu Oliver Gao, Jyotishman Pathak, Jessic...> ;JAMIA Open. 2020 Oct 1
• 6 citations
  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, Zhuoran Xu, Yiye Zhang, Kelly Michalak, Kristina Dolan, Yasin Hussain, Benjamin C. Lee, Yongkang Zhang, Parag Goyal, Thomas...> ;Cardiovascular Digital Health Journal. 2020 Sep 1
• 13 citations
  Development of novel machine learning model for right ventricular quantification on echocardiography—A multimodality validation study
  Ashley Beecy, Alex Bratt, Brian Yum, Razia Sultana, Mukund Das, Ines Sherifi, Richard B. Devereux, Jonathan W. Weinsaft, Jiwon Kim> ;Echocardiography. 2020 May 1
• 9 citations
  Risk Reclassification With Coronary Computed Tomography Angiography-Visualized Nonobstructive Coronary Artery Disease According to 2018 American College of Cardiology/...
  Donghee Han, Ashley Beecy, Khalil Anchouche, Heidi Gransar, Patricia C. Dunham, Ji Hyun Lee, Stephan Achenbach, Mouaz H. Al-Mallah, Daniele Andreini, Daniel S. Berman,...> ;The American Journal of Cardiology. 2019 Nov 1
• 22 citations
  Clinical and Socioeconomic Predictors of Heart Failure Readmissions: A Review of Contemporary Literature
  Amanda Su, Subhi J. Al'Aref, Ashley Beecy, James K. Min, Maria G. Karas> ;Mayo Clinic Proceedings. 2019 Jul 1
• 231 citations
  Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging
  Subhi J. Al'Aref, Khalil Anchouche, Gurpreet Singh, Piotr J. Slomka, Kranthi K. Kolli, Amit Kumar, Mohit Pandey, Gabriel Maliakal, Alexander R. van Rosendael, Ashley B...> ;European Heart Journal. 2019 Jun 21
• 47 citations
  Machine learning derived segmentation of phase velocity encoded cardiovascular magnetic resonance for fully automated aortic flow quantification.
  Alex Bratt, Jiwon Kim, Meridith P. Pollie, Ashley Beecy, Nathan H. Tehrani, Noel C. F. Codella, Rocio Perez-Johnston, Maria Chiara Palumbo, Javid Alakbarli, Wayne Coli...> ;Journal of Cardiovascular Magnetic Resonance. 2019 Jan 7
• 3 citations
  Association between epicardial fat volume and fractional flow reserve: An analysis of the determination of fractional flow reserve (DeFACTO) study.
  Ashley Beecy, Bríain ó Hartaigh, Joshua Schulman-Marcus, Khalil Anchouche, Heidi Gransar, Subhi J. Al'Aref, Kimberly Elmore, Fay Y. Lin, James K. Min, Jessica M. Peña> ;Clinical Imaging. 2018 Sep 1
• 109 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...
  Alexander R. van Rosendael, Gabriel Maliakal, Kranthi K. Kolli, Ashley Beecy, Subhi J. Al'Aref, Aeshita Dwivedi, Gurpreet Singh, Mohit Panday, Amit Kumar, Xiaoyue Ma, ...> ;Journal of Cardiovascular Computed Tomography. 2018 May 1
• 14 citations
  A Novel Deep Learning Approach for Automated Diagnosis of Acute Ischemic Infarction on Computed Tomography.
  Ashley Beecy, Qi Chang, Khalil Anchouche, Lohendran Baskaran, Kimberly Elmore, Kranthi K. Kolli, Hao Wang, Subhi J. Al'Aref, Jessica M. Peña, Ashley Knight-Greenfield,...> ;JACC. Cardiovascular Imaging. 2018 May 16
• 14 citations
  Discharge Processes and 30-Day Readmission Rates of Patients Hospitalized for Heart Failure on General Medicine and Cardiology Services.
  Brian M. Salata, Madeline R Sterling, Ashley Beecy, Ajayram V Ullal, Erica C. Jones, Evelyn M. Horn, Parag Goyal> ;The American Journal of Cardiology. 2018 May 1
• 7 citations
  Patterns of scheduled follow-up appointments following hospitalization for heart failure: insights from an urban medical center in the United States.
  Parag Goyal, Madeline R Sterling, Ashley Beecy, J. Ruffino, Sonal Mehta, Erica C. Jones, Mark S. Lachs, Evelyn M. Horn> ;Clinical Interventions in Aging. 2016 Sep 26
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Lectures

• Development of a Novel Deep Learning Model For Right Ventricular Quantification on EchocardiographyA Multimodality Validation Study 
  2019 ACC Scientific Session & Expo, New Orleans - 3/16/2019