Yuval Barak-Corren
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Explore the profile of Yuval Barak-Corren including associated specialties, affiliations and a list of published articles.
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31
Citations
389
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Recent Articles
1.
Barak-Corren Y, Obsekov V, Gupta M, Herz C, Amin S, Lasso A, et al.
Catheter Cardiovasc Interv
. 2025 Mar;
PMID: 40045877
Background: The potential for coronary artery compression (CC) during transcatheter pulmonary valve replacement (TPVR) using self-expanding valves (SEV) is not fully understood, yet anecdotal reports suggest that this risk exists....
2.
Gupta M, Leeth E, Barak-Corren Y, Gartenberg A, Silvestro E, OByrne M, et al.
Catheter Cardiovasc Interv
. 2025 Jan;
PMID: 39887520
Background And Aims: Drug-eluting stents (DES) are not designed for overexpansion to supra-nominal diameters or intentional stent fracture (ISF). The optimal dilation technique to minimize stent shortening (SS) and achieve...
3.
Bruckheimer E, Schamroth Pravda N, Barak-Corren Y, Lowenthal A, Amir G, Arnon R, et al.
Pediatr Cardiol
. 2024 Oct;
PMID: 39361033
The effect of stenting of native aortic coarctation (CoA) on post-stenotic dilatation (PSD) has not been previously described. We hypothesized that CoA stenting may lead to positive remodeling of PSD....
4.
Iatrogenic Aortopulmonary Communication Following Intentional Pulmonary Bioprosthetic Valve Fracture
Gupta M, Barak-Corren Y, Gillespie M, Leeth E, Callahan R
JACC Cardiovasc Interv
. 2024 Apr;
17(9):1165-1167.
PMID: 38573253
No abstract available.
5.
Harnessing the Power of Generative AI for Clinical Summaries: Perspectives From Emergency Physicians
Barak-Corren Y, Wolf R, Rozenblum R, Creedon J, Lipsett S, Lyons T, et al.
Ann Emerg Med
. 2024 Mar;
84(2):128-138.
PMID: 38483426
Study Objective: The workload of clinical documentation contributes to health care costs and professional burnout. The advent of generative artificial intelligence language models presents a promising solution. The perspective of...
6.
Sorotzky M, Raphael A, Breuer A, Odeh M, Gillis R, Gillis M, et al.
J Racial Ethn Health Disparities
. 2024 Mar;
PMID: 38457104
Background: The management of the SARS-CoV-2 pandemic depends amongst other factors on disease prevalence in the general population. The gap between the true rate of infection and the detected rate...
7.
Barak-Corren Y, Herz C, Lasso A, Dori Y, Tang J, Smith C, et al.
Circ Cardiovasc Interv
. 2023 Dec;
17(1):e013204.
PMID: 38152881
Background: Maldistribution of pulmonary blood flow in patients with congenital heart disease impacts exertional performance and pulmonary artery growth. Currently, measurement of relative pulmonary perfusion can only be performed outside...
8.
Barak-Corren Y, Tsurel D, Keidar D, Gofer I, Shahaf D, Leventer-Roberts M, et al.
J Am Med Inform Assoc
. 2023 Aug;
30(12):1915-1924.
PMID: 37535812
Objective: To determine whether data-driven family histories (DDFH) derived from linked EHRs of patients and their parents can improve prediction of patients' 10-year risk of diabetes and atherosclerotic cardiovascular disease...
9.
Bruckheimer E, Steiner K, Barak-Corren Y, Slanovic L, Levinzon M, Lowenthal A, et al.
Front Cardiovasc Med
. 2023 May;
10:1158227.
PMID: 37215550
Purpose: Evaluate Piccolo and ADOII devices for transcatheter patent ductus arteriosus (PDA) closure. Piccolo has smaller retention discs reducing risk of flow disturbance but residual leak and embolization risk may...
10.
Sheu Y, Sun J, Lee H, Castro V, Barak-Corren Y, Song E, et al.
Psychiatry Res
. 2023 Apr;
323:115175.
PMID: 37003169
Growing evidence has shown that applying machine learning models to large clinical data sources may exceed clinician performance in suicide risk stratification. However, many existing prediction models either suffer from...