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Specialty: Cardiology
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Total 295 results found since Jan 2013.
Tetralogy of Fallot in the nascent open-heart surgical era in a tertiary hospital in south-west Nigeria: lessons learnt
CONCLUSIONS: TOF is associated with significant morbidity and mortality in developing countries. Early and safe corrective surgery is desirable.PMID:34851355 | DOI:10.5830/CVJA-2021-048
Source: Cardiovascular Journal of Africa - December 1, 2021 Category: Cardiology Authors: Olukemi T Bamigboye-Taiwo Babajide Adeyefa Uvie U Onakpoya Olugbenga O Ojo Joel O Eyekpegha Abayomi Oguns John A Okeniyi Source Type: research
Rationale and design of the Brazilian Diabetes Study: a prospective cohort of type 2 diabetes
CONCLUSION: The BDS will be the first large population-based cohort dedicated to the identification of clinical phenotypes of T2D at higher risk of cardiovascular events. Data derived from this study will provide valuable information on risk estimation and prevention of cardiovascular and other diabetes-related events.PMID:35174749 | DOI:10.1080/03007995.2022.2043658
Source: Atherosclerosis - February 17, 2022 Category: Cardiology Authors: Joaquim Barreto Vaneza Wolf Isabella Bonilha Beatriz Luchiari Marcus Lima Alessandra Oliveira Sofia Vitte Gabriela Machado Jessica Cunha Cynthia Borges Daniel Munhoz Vicente Fernandes Sheila Tatsumi Kimura-Medorima Ikaro Breder Marta Duran Fernandez Thiag Source Type: research
Artificial Intelligence and Atrial Fibrillation
This article is protected by copyright. All rights reserved.
Source: Journal of Cardiovascular Electrophysiology - March 8, 2022 Category: Cardiology Authors: Ojasav Sehrawat, Anthony H. Kashou, Peter A. Noseworthy Tags: INVITED REVIEW Source Type: research
Machine learning in the detection and management of atrial fibrillation
AbstractMachine learning has immense novel but also disruptive potential for medicine. Numerous applications have already been suggested and evaluated concerning cardiovascular diseases. One important aspect is the detection and management of potentially thrombogenic arrhythmias such as atrial fibrillation. While atrial fibrillation is the most common arrhythmia with a lifetime risk of one in three persons and an increased risk of thromboembolic complications such as stroke, many atrial fibrillation episodes are asymptomatic and a first diagnosis is oftentimes only reached after an embolic event. Therefore, screening for a...
Source: Clinical Research in Cardiology - March 30, 2022 Category: Cardiology Source Type: research
A proteomic model shows potential as a surrogate end point for CVD risk
Nature Reviews Cardiology, Published online: 20 April 2022; doi:10.1038/s41569-022-00716-7A model generated using proteomics and machine learning that included 27 proteins was able to predict the 4-year risk of myocardial infarction, heart failure, stroke or all-cause death better than a clinical model and was sensitive to the adverse and beneficial changes in outcome.
Source: Nature Reviews Cardiology - April 20, 2022 Category: Cardiology Authors: Irene Fern ández-Ruiz Source Type: research
Ce-543-04 inter-atrial block identifies patients with low cha2ds2-vasc score but high stroke risk
Beyond current methods of risk stratification, clinical studies employing machine learning methodology have demonstrated that the 12-lead ECG harbors additional prognostic information for various cardiovascular outcomes. Interatrial block (IAB) manifests as P wave duration>120 msec and is associated with thromboembolism, atrial arrhythmias, and mortality.
Source: Heart Rhythm - April 29, 2022 Category: Cardiology Authors: Joshua Lampert, Shreyas Havaldar, David Power, Marc A. Miller, Abhishek Maan, Kartikeya Menon, Emmanuel Ekanem, Jonathan Gandhi, Daniel N. Pugliese, Daniel Ross Musikantow, Mohit K. Turagam, Valentin Fuster, Srinivas R. Dukkipati, Benjamin Glicksberg, Viv Source Type: research
Po-661-03 use of a deep learning algorithm to predict paroxysmal atrial fibrillation based on printed electrocardiographic records acquired during sinus rhythm
Atrial fibrillation (AF) is a common type of sustained arrhythmia worldwide. Asymptomatic AF, which occurs frequently, is associated with an increased incidence of ischemic stroke, heart failure, and mortality. A large number of patients with paroxysmal atrial fibrillation (PAF) remain undiagnosed due to the absence of electrocardiographic evidence of AF (AF-ECGs). If PAF could be predicted, targeted screening could improve early detection and treatment of this condition.
Source: Heart Rhythm - April 29, 2022 Category: Cardiology Authors: Yang Zhou, Yu Chen, Deyun Zhang, Shijia Geng, Guodong Wei, Ying Tian, Shenda Hong, XINGPENG LIU Source Type: research
Emerging Feature Extraction Techniques for Machine Learning-Based Classification of Carotid Artery Ultrasound Images
This study presents the extraction of 65 features, which constitute of shape, texture, histogram, correlogram, and morphology features. Principal component analysis (PCA)-based feature selection is performed, and the 22 most significant features, which will improve the classification accuracy, are selected. Naive Bayes algorithm and dynamic learning vector quantization (DLVQ)-based machine learning classifications are performed with the extracted and selected features, and analysis is performed.PMID:35602622 | PMC:PMC9119795 | DOI:10.1155/2022/1847981
Source: Atherosclerosis - May 23, 2022 Category: Cardiology Authors: S Latha P Muthu Samiappan Dhanalakshmi R Kumar Khin Wee Lai Xiang Wu Source Type: research
