Ashley Beecy
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Explore the profile of Ashley Beecy including associated specialties, affiliations and a list of published articles.
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Articles
11
Citations
78
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Recent Articles
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Long A, Haggerty C, Finer J, Hartzel D, Jing L, Keivani A, et al.
Circulation
. 2024 Jun;
150(12):911-922.
PMID: 38881496
Background: Artificial intelligence, particularly deep learning (DL), has immense potential to improve the interpretation of transthoracic echocardiography (TTE). Mitral regurgitation (MR) is the most common valvular heart disease and presents...
3.
Sendak M, Liu V, Beecy A, Vidal D, Shaw K, Lifson M, et al.
J Am Med Inform Assoc
. 2024 May;
31(7):1622-1627.
PMID: 38767890
Objectives: Surface the urgent dilemma that healthcare delivery organizations (HDOs) face navigating the US Food and Drug Administration (FDA) final guidance on the use of clinical decision support (CDS) software....
4.
Elias P, Jain S, Poterucha T, Randazzo M, Lopez Jimenez F, Khera R, et al.
J Am Coll Cardiol
. 2024 Apr;
83(24):2472-2486.
PMID: 38593946
Recent artificial intelligence (AI) advancements in cardiovascular care offer potential enhancements in diagnosis, treatment, and outcomes. Innovations to date focus on automating measurements, enhancing image quality, and detecting diseases using...
5.
Jain S, Elias P, Poterucha T, Randazzo M, Lopez Jimenez F, Khera R, et al.
J Am Coll Cardiol
. 2024 Apr;
83(24):2487-2496.
PMID: 38593945
Recent artificial intelligence (AI) advancements in cardiovascular care offer potential enhancements in effective diagnosis, treatment, and outcomes. More than 600 U.S. Food and Drug Administration-approved clinical AI algorithms now exist,...
6.
Liu Y, Joly R, Reading Turchioe M, Benda N, Hermann A, Beecy A, et al.
J Am Med Inform Assoc
. 2024 Mar;
31(6):1258-1267.
PMID: 38531676
Objective: We developed and externally validated a machine-learning model to predict postpartum depression (PPD) using data from electronic health records (EHRs). Effort is under way to implement the PPD prediction...
7.
van Assen M, Beecy A, Gershon G, Newsome J, Trivedi H, Gichoya J
Curr Atheroscler Rep
. 2024 Feb;
26(4):91-102.
PMID: 38363525
Purpose Of Review: Bias in artificial intelligence (AI) models can result in unintended consequences. In cardiovascular imaging, biased AI models used in clinical practice can negatively affect patient outcomes. Biased...
8.
Lee H, Sholle E, Beecy A, AlAref S, Peng Y
Proc Conf
. 2022 Apr;
2021:4533-4538.
PMID: 35463193
Utilizing clinical texts in survival analysis is difficult because they are largely unstructured. Current automatic extraction models fail to capture textual information comprehensively since their labels are limited in scope....
9.
Han D, Beecy A, Anchouche K, Gransar H, Dunham P, Lee J, et al.
Am J Cardiol
. 2019 Sep;
124(9):1397-1405.
PMID: 31547994
The 2018 American College of Cardiology (ACC)/American Heart Association (AHA) cholesterol management guideline recommends risk enhancers in the borderline-risk and statin recommended/intermediate-risk groups. We determined the risk reclassification by the...
10.
van Rosendael A, Maliakal G, Kolli K, Beecy A, AlAref S, Dwivedi A, et al.
J Cardiovasc Comput Tomogr
. 2018 May;
12(3):204-209.
PMID: 29753765
Introduction: Machine learning (ML) is a field in computer science that demonstrated to effectively integrate clinical and imaging data for the creation of prognostic scores. The current study investigated whether...