Results 21 to 30 of about 157,591 (311)

IoT-Enabled Classification of Echocardiogram Images for Cardiovascular Disease Risk Prediction with Pre-Trained Recurrent Convolutional Neural Networks

open access: yesDiagnostics, 2023
Cardiovascular diseases currently present a key health concern, contributing to an increase in death rates worldwide. In this phase of increasing mortality rates, healthcare represents a major field of research, and the knowledge acquired from this ...
C. Balakrishnan, Vinay V. Kumar
semanticscholar   +1 more source

A study of electrocardiographic and 2D echocardiographic changes in type 2 diabetes mellitus patients without cardiovascular symptoms

open access: yesJournal of Family Medicine and Primary Care, 2022
Context: Cardiovascular diseases in diabetic patients are mostly asymptomatic due to autonomic neuropathy. Many patients with left ventricular dysfunction remain undiagnosed and untreated until advance disease causes disability.
Vasudha V Sardesai   +3 more
doaj   +1 more source

Idiopathic eosinophilic myocarditis presenting with features of an acute coronary syndrome

open access: yesEcho Research and Practice, 2020
A 62-year-old female was admitted with severe left-sided chest pain, nausea and pre-syncope. She had widespread T wave inversion on ECG and elevated troponins and was suspected to have an acute coronary syndrome event.
Nam Tran   +5 more
doaj   +1 more source

A formal validation of a deep learning-based automated workflow for the interpretation of the echocardiogram

open access: yesNature Communications, 2022
This study compares a deep learning interpretation of 23 echocardiographic parameters—including cardiac volumes, ejection fraction, and Doppler measurements—with three repeated measurements by core lab sonographers.
J. Tromp   +9 more
semanticscholar   +1 more source

Multimodal imaging features of primary pericardial synovial sarcoma: a case report

open access: yesFrontiers in Oncology, 2023
BackgroundPrimary pericardial synovial sarcoma is an extremely rare malignant tumor, and affected patients have a poor prognosis. Only a few cases have been reported in the literature.Case summaryA 34-year-old man was admitted to our hospital with chest ...
Hongrui Jin   +3 more
doaj   +1 more source

Prevalence and associated factors of early repolarization pattern in healthy young northeastern Thai men: A correlation study with Brugada electrocardiography

open access: yesJournal of Arrhythmia, 2015
Background: Early repolarization pattern (ERP) is characterized by J-point elevation with QRS notching or slurring in the terminal portion of the QRS complex. It may be associated with sudden death.
Pattarapong Makarawate, MD, CEPS, CCDS   +7 more
doaj   +1 more source

Automated interpretation of systolic and diastolic function on the echocardiogram: a multicohort study.

open access: yesThe Lancet Digital Health, 2021
BACKGROUND Echocardiography is the diagnostic modality for assessing cardiac systolic and diastolic function to diagnose and manage heart failure.
J. Tromp   +18 more
semanticscholar   +1 more source

Cardiac Masses Discovered by Echocardiogram; What to Do Next?

open access: yesStructural Heart, 2023
Cardiac tumors are rare conditions, typically diagnosed on autopsy, but with the advancement of imaging techniques they are now encountered more frequently in clinical practice.
R. Kurmann   +13 more
semanticscholar   +1 more source

Case Report: Transcatheter Closure of Ruptured Sinus of Valsalva With Ventricular Septal Defect Occluder in a 3-Year-Old Child After Repair of Ventricular Septal Defect

open access: yesFrontiers in Pediatrics, 2021
Sinus of Valsalva aneurysm (SVA) is a rare cardiac anomaly that can undergo spontaneous rupture into other cardiac chambers or the pericardial space. A ruptured SVA has a very poor prognosis with high morbidity and mortality.
Xueyang Gong   +4 more
doaj   +1 more source

Artificial intelligence-assisted interpretation of systolic function by echocardiogram

open access: yesOpen Heart, 2023
Objective Precise and reliable echocardiographic assessment of left ventricular ejection fraction (LVEF) is needed for clinical decision-making. Recently, artificial intelligence (AI) models have been developed to estimate LVEF accurately.
N. Yamaguchi   +4 more
semanticscholar   +1 more source

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