Evangelos K Oikonomou
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Explore the profile of Evangelos K Oikonomou including associated specialties, affiliations and a list of published articles.
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Recent Articles
1.
Oikonomou E, Vaid A, Holste G, Coppi A, McNamara R, Baloescu C, et al.
Lancet Digit Health
. 2025 Jan;
7(2):e113-e123.
PMID: 39890242
Background: Point-of-care ultrasonography (POCUS) enables cardiac imaging at the bedside and in communities but is limited by abbreviated protocols and variation in quality. We aimed to develop and test artificial...
2.
Aminorroaya A, Dhingra L, Oikonomou E, Khera R
Circ Genom Precis Med
. 2025 Jan;
18(1):e004632.
PMID: 39846171
Background: While universal screening for Lipoprotein(a) [Lp(a)] is increasingly recommended, <0.5% of patients undergo Lp(a) testing. Here, we assessed the feasibility of deploying Algorithmic Risk Inspection for Screening Elevated Lp(a)...
3.
Dhingra L, Aminorroaya A, Sangha V, Pedroso A, Asselbergs F, Brant L, et al.
Eur Heart J
. 2025 Jan;
46(11):1044-1053.
PMID: 39804243
Background And Aims: Current heart failure (HF) risk stratification strategies require comprehensive clinical evaluation. In this study, artificial intelligence (AI) applied to electrocardiogram (ECG) images was examined as a strategy...
4.
Dhingra L, Sangha V, Aminorroaya A, Bryde R, Gaballa A, Ali A, et al.
Am J Cardiol
. 2024 Nov;
237:35-40.
PMID: 39581517
Artificial intelligence-enhanced electrocardiography (AI-ECG) can identify hypertrophic cardiomyopathy (HCM) on 12-lead ECGs and offers a novel way to monitor treatment response. Although the surgical or percutaneous reduction of the interventricular...
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6.
Aminorroaya A, Dhingra L, Pedroso Camargos A, Vasisht Shankar S, Coppi A, Khunte A, et al.
medRxiv
. 2024 Oct;
PMID: 39417103
Background And Aims: AI-enhanced 12-lead ECG can detect a range of structural heart diseases (SHDs) but has a limited role in community-based screening. We developed and externally validated a noise-resilient...
7.
Dhingra L, Aminorroaya A, Sangha V, Pedroso A, Vasisht Shankar S, Coppi A, et al.
medRxiv
. 2024 Oct;
PMID: 39417095
Background: Identifying structural heart diseases (SHDs) early can change the course of the disease, but their diagnosis requires cardiac imaging, which is limited in accessibility. Objective: To leverage images of...
8.
Vasisht Shankar S, Dhingra L, Aminorroaya A, Adejumo P, Nadkarni G, Xu H, et al.
medRxiv
. 2024 Oct;
PMID: 39417094
Background: Rich data in cardiovascular diagnostic testing are often sequestered in unstructured reports, with the necessity of manual abstraction limiting their use in real-time applications in patient care and research....
9.
Thangaraj P, Benson S, Oikonomou E, Asselbergs F, Khera R
Eur Heart J
. 2024 Sep;
PMID: 39322420
Digital twins, which are in silico replications of an individual and its environment, have advanced clinical decision-making and prognostication in cardiovascular medicine. The technology enables personalized simulations of clinical scenarios,...
10.
Oikonomou E, Sangha V, Vasisht Shankar S, Coppi A, Krumholz H, Nasir K, et al.
medRxiv
. 2024 Sep;
PMID: 39252891
Background And Aims: The diagnosis of transthyretin amyloid cardiomyopathy (ATTR-CM) requires advanced imaging, precluding large-scale pre-clinical testing. Artificial intelligence (AI)-enabled transthoracic echocardiography (TTE) and electrocardiography (ECG) may provide a scalable...