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Ashley Beecy

sutter health

16H-index
61Paper Count
1.3KCitation Count
Published Papers 20
Publication Date
Cardio Amyloid-AI: Advanced Multimodal Screening for Transthyretin Cardiac Amyloidosis in Severe Aortic Stenosis Patients
err2026-04-21
err0
errOAAI
errNusrat Binta Nizam; Ashley N Beecy; Jacob W Groenendyk; Fengbei Liu; Chris Kelsey; David vanMaanan; Jeffrey Ruhl; Naomi Tesfuzigta; Ilan Richter; Mathew S Maurer; Gabriel Sayer; Deborah Estrin; Parag Goyal; Nir Uriel; Mert R Sabuncu
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Multimodal multi-instance learning for cardiopulmonary exercise testing performance prediction
err2026-03-03
err0
errOAAI
errZhe Huang; Weishen Pan; Shudhanshu Alishetti; Ashley N. Beecy; Zhenzhen Liu; Albert Gong; Saebyeol Shin; Kevin J. Clerkin; Rochelle L. Goldsmith; David T. Majure; Chris Kelsey; David vanMaanan; Jeffrey Ruhl; Naomi Tesfuzigta; Erica Lancet; Deepa Kumaraiah; Gabriel Sayer; Deborah Estrin; Kilian Weinberger; Nir Uriel; Fei Wang
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Integrating trust into artificial intelligence for medicine: using diabetes as the exemplar disease
err2026-02-25
err0
errOAAI
errMandy M. Shao; Agatha F. Scheideman; David Kerr; Tien Y. Wong; Juan Espinoza; Shahid N. Shah; Mohammed E. Al-Sofiani; Ashley N. Beecy; Dieter Bruno; Elizabeth Healey; Nestoras Mathioudakis; Bin Sheng; Michael P. Snyder; Yih Chung Tham; David C. Klonoff
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Bridging the Gap: Consensus-Based Considerations for AI Usefulness in Healthcare
err2026-02-12
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errOAAI
errMegan E. Salwei; Keith Morse; Suchi Saria; Nigam H. Shah; Armando Bedoya; Molly Beyer; Alejandro Muñoz del Rio; Dennis Chornenky; Anthony Lin; Sawan Ruparel; Daniel Kortsch; Priyank Barbarooah; Morgan Hanger; Ashley N. Beecy; Matthew Elmore; Nicoleta J. Economou-Zavlanos
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Eliminating the AI digital divide by building local capacity (vol 4, e0001026, 2025)
err2025-12-01
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errOAAI
errGulamali, Freya; Kim, Jee Young; Pejavara, Kartik; Thomas, Ciera; Mathur, Varoon; Eigen, Zev; Lifson, Mark; Patel, Manesh; Shaw, Keo; Tobey, Danny; Valladares, Alexandra; Vidal, David; Augenstein, Jared; Beecy, Ashley; Bergkvist, Sofi; Burns, Michael; Draugelis, Michael; Ehrenfeld, Jesse M.; Henwood, Patricia; Jagneaux, Tonya; Jeffries, Morgan; Khoury, Christopher; Liao, Frank J.; Liu, Vincent X.; Longhurst, Chris; Mack, Dominic; Maddox, Thomas M.; Mcswain, David; Miff, Steve; Miller, Corey; Murray, Sara G.; Patterson, Brian W.; Payne, Philip; Price II, W. Nicholson; Rimal, Ram; Sheppard, Michael J.; Singh, Karandeep; Sosseh, Abdoul; Stoll, Jennifer; Stroum, Corinne; Tarabichi, Yasir; Trujillo, Sylvia; Wiley, Ladd; Hasan, Alifia; Kpodzro, Joan S.; Balu, Suresh; Sendak, Mark P.
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Eliminating the AI digital divide by building local capacity
err2025-10-01
err0
PREAI
errGulamali, Freya; Kim, Jee Young; Pejavara, Kartik; Thomas, Ciera; Mathur, Varoon; Eigen, Zev; Lifson, Mark; Patel, Manesh; Shaw, Keo; Tobey, Danny; Valladares, Alexandra; Vidal, David; Augenstein, Jared; Beecy, Ashley; Bergkvist, Sofi; Burns, Michael; Draugelis, Michael; Ehrenfeld, Jesse M.; Henwood, Patricia; Jagneaux, Tonya; Jeffries, Morgan; Khuory, Christopher; Liao, Frank J.; Liu, Vincent X.; Longhurst, Chris; Mack, Dominic; Maddox, Thomas M.; McSwain, David; Miff, Steve; Miller, Corey; Murray, Sara G.; Patterson, Brian W.; Payne, Philip; Price II, W. Nicholson; Rimal, Ram; Sheppard, Michael J.; Singh, Karandeep; Sosseh, Abdoul; Stoll, Jennifer; Stroum, Corinne; Tarabichi, Yasir; Trujillo, Sylvia; Wiley, Ladd; Hasan, Alifia; Kpodzro, Joan S.; Balu, Suresh; Sendak, Mark P.
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Detecting structural heart disease from electrocardiograms using AI
errNature
IF48.5
err2025-07-16
err0
errOAAI
errTimothy J. Poterucha; Linyuan Jing; Ramon Pimentel Ricart; Michael Adjei-Mosi; Joshua Finer; Dustin Hartzel; Christopher Kelsey; Aaron Long; Daniel Rocha; Jeffrey A. Ruhl; David vanMaanen; Marc A. Probst; Brock Daniels; Shalmali D. Joshi; Olivier Tastet; Denis Corbin; Robert Avram; Joshua P. Barrios; Geoffrey H. Tison; I-Min Chiu; David Ouyang; Alexander Volodarskiy; Michelle Castillo; Francisco A. Roedan Oliver; Paloma P. Malta; Siqin Ye; Gregg F. Rosner; Jose M. Dizon; Shah R. Ali; Qi Liu; Corey K. Bradley; Prashant Vaishnava; Carol A. Waksmonski; Ersilia M. DeFilippis; Vratika Agarwal; Mark Lebehn; Polydoros N. Kampaktsis; Sofia Shames; Ashley N. Beecy; Deepa Kumaraiah; Shunichi Homma; Allan Schwartz; Rebecca T. Hahn; Martin Leon; Andrew J. Einstein; Mathew S. Maurer; Heidi S. Hartman; John Weston Hughes; Christopher M. Haggerty; Pierre Elias
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International partnership for governing generative artificial intelligence models in medicine
err2025-06-30
err0
PREAI
errJasmine Chiat Ling Ong; Yilin Ning; Gary S. Collins; Danielle S. Bitterman; Ashley N. Beecy; Robert T. Chang; Alastair K. Denniston; Oscar Freyer; Stephen Gilbert; Anne de Hond; Artuur M. Leeuwenberg; Liang Zhao; John C. W. Lim; Mingxuan Liu; Xiaoxuan Liu; Christopher A. Longhurst; Yian Ma; Yue Qiu; Rupa Sarkar; Bin Sheng; Kuldev Singh; Iris Siu Kwan Tan; Yih Chung Tham; Arun J. Thirunavukarasu; Daniel Shu Wei Ting; Silke Vogel; Rui Zhang; Jianfei Zhao; Wendy W. Chapman; Nigam H. Shah; Karel G. M. Moons; Tien Yin Wong; Nan Liu
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Deep learning for echocardiographic assessment and risk stratification of aortic, mitral, and tricuspid regurgitation: the DELINEATE-regurgitation study
err2025-03-29
err1
PREAI
errLong, Aaron; Finer, Joshua; Hartman, Heidi; Hartzel, Dustin; Jing, Linyuan; Kelsey, Christopher; Rocha, Daniel; Ruhl, Jeffrey; Vanmaanen, David; Elnabawi, Youssef; Metser, Gil; Duffy, Eamon; Mawson, Thomas; Tat, Emily; Haggerty, Christopher M.; Maurer, Mathew; Einstein, Andrew J.; Beecy, Ashley N.; Kumaraiah, Deepa; Devereux, Richard B.; Homma, Shunichi; Leon, Martin; Hahn, Rebecca T.; Elias, Pierre; Poterucha, Timothy J.
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A large-scale multi-view deep learning-based assessment of left ventricular ejection fraction in echocardiography
err2024-11-12
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PREAI
errJing, Linyuan; Long, Aaron; vanMaanen, David; Rocha, Daniel; Hartzel, Dustin; Kelsey, Christopher; Ruhl, Jeffrey; Beecy, Ashley; Elnabawi, Youssef; Metser, Gil; Mawson, Thomas; Tat, Emily; Jiang, Nona; Duffy, Eamon; Hahn, Rebecca; Homma, Shunichi
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DELINEATE-Regurgitation: deep learning for automated assessment of aortic, mitral, and tricuspid regurgitation from echocardiography
err2024-10-28
err0
PREAI
errLong, A.; Haggerty, C. M.; Hartzel, D.; Jing, L.; Kelsey, C.; Rocha, D.; Metser, G.; Duffy, E.; Mawson, T.; Beecy, A.; Homma, S.; Leon, M.; Hahn, R.; Elias, P.; Poterucha, T.
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Implications of Bias in Artificial Intelligence: Considerations for Cardiovascular Imaging
err2024-02-16
err3
PREAI
errvan Assen, Marly; Beecy, Ashley; Gershon, Gabrielle; Newsome, Janice; Trivedi, Hari; Gichoya, Judy
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EchoNext: An ECGBased Deep Learning Model to Detect Structural Heart Disease
err2023-11-07
err1
PREAI
errJing, Linyuan; Finer, Joshua; Hartzel, Dustin; Kelsey, Christopher; Rocha, Daniel; Ruhl, Jeffrey; Volodarskiy, Alexander; Beecy, Ashley; Haggerty, Christopher M.; Poterucha, Timothy J.; Elias, Pierre
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Clinical and Socioeconomic Predictors of Heart Failure Readmissions: A Review of Contemporary Literature
err2019-07-01
err32
errOAAI
errSu, Amanda; Al'Aref, Subhi J.; Beecy, Ashley N.; Min, James K.; Karas, Maria G.
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Machine learning derived segmentation of phase velocity encoded cardiovascular magnetic resonance for fully automated aortic flow quantification
err2019-01-01
err57
errOAAI
errBratt, Alex; Kim, Jiwon; Pollie, Meridith; Beecy, Ashley N.; Tehrani, Nathan H.; Codella, Noel; Perez-Johnston, Rocio; Palumbo, Maria Chiara; Alakbarli, Javid; Colizza, Wayne; Drexler, Ian R.; Azevedo, Clerio F.; Kim, Raymond J.; Devereux, Richard B.; Weinsaft, Jonathan W.
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A Novel Deep Learning Approach for Automated Diagnosis of Acute Ischemic Infarction on Computed Tomography
err2018-11-01
err14
errOAAI
errBeecy, Ashley N.; Chang, Qi; Anchouche, Khalil; Baskaran, Lohendran; Elmore, Kimberly; Kolli, Kranthi; Wang, Hao; Al'Aref, Subhi; Pena, Jessica M.; Knight-Greenfield, Ashley; Patel, Praneil; Sun, Peng; Zhang, Tong; Kamel, Hooman; Gupta, Ajay; Min, James K.
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Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging
err2018-07-27
err295
PREAI
errAl'Aref, Subhi J.; Anchouche, Khalil; Singh, Gurpreet; Slomka, Piotr J.; Kolli, Kranthi K.; Kumar, Amit; Pandey, Mohit; Maliakal, Gabriel; van Rosendael, Alexander R.; Beecy, Ashley N.; Berman, Daniel S.; Leipsic, Jonathan; Nieman, Koen; Andreini, Daniele; Pontone, Gianluca; Schoepf, U. Joseph; Shaw, Leslee J.; Chang, Hyuk-Jae; Narula, Jagat; Bax, Jeroen J.; Guan, Yuanfang; Min, James K.
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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
err2018-05-01
err165
errOAAI
errvan Rosendael, Alexander R.; Maliakal, Gabriel; Kolli, Kranthi K.; Beecy, Ashley; Al'Aref, Subhi J.; Dwivedi, Aeshita; Singh, Gurpreet; Panday, Mohit; Kumar, Amit; Ma, Xiaoyue; Achenbach, Stephan; Al-Mallah, Mouaz H.; Andreini, Daniele; Bax, Jeroen J.; Berman, Daniel S.; Budoff, Matthew J.; Cademartiri, Filippo; Callister, Tracy Q.; Chang, Hyuk-Jae; Chinnaiyan, Kavitha; Chow, Benjamin J. W.; Cury, Ricardo C.; DeLago, Augustin; Feuchtner, Gudrun; Hadamitzky, Martin; Hausleiter, Joerg; Kaufman, Philipp A.; Kim, Yong-Jin; Leipsic, Jonathon A.; Maffei, Erica; Marques, Hugo; Pontone, Gianluca; Raff, Gilbert L.; Rubinshtein, Ronen; Shaw, Leslee J.; Villines, Todd C.; Gransar, Heidi; Lu, Yao; Jones, Erica C.; Pena, Jessica M.; Lin, Fay Y.; Min, James K.
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Patterns of scheduled follow-up appointments following hospitalization for heart failure: insights from an urban medical center in the United States
err2016-09-01
err14
errOAAI
errGoyal, Parag; Sterling, Madeline R.; Beecy, Ashley N.; Ruffino, John T.; Mehta, Sonal S.; Jones, Erica C.; Lachs, Mark S.; Horn, Evelyn M.
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