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Misdiagnosis of a Massive Pulmonary Thromboembolism in A Patient With Dextrocardia and a Pacemaker.
Cureus
December 2024
Department of Cardiology, Shariati Hospital, School of Medicine, Tehran University of Medical Sciences, Tehran, IRN.
Pulmonary thromboembolism (PTE) is the third most common cause of acute cardiovascular disease, which can lead to high morbidity and mortality if left untreated. Anatomical and electrophysiological variations and obesity may complicate timely diagnosis and delay required management. While computed tomography pulmonary angiography (CTPA) remains the most accurate diagnostic tool, initial assessments using electrocardiography (ECG) or echocardiography can be helpful in early suspicion.
View Article and Find Full Text PDF[Analysis of 15 cases of critical pulmonary stenosis with intact ventricular septum in neonates treated by antegrade venous-arterial loop interventional therapy].
Zhonghua Er Ke Za Zhi
January 2025
Heart Center, Women and Children's Hospital, Qingdao University, Qingdao266034, China.
To evaluate the clinical efficacy of percutaneous balloon pulmonary valvuloplasty (PBPV) via antegrade venous-arterial loop in neonates with critical pulmonary stenosis with intact ventricular septum (CPS-IVS). A retrospective case review was conducted. Fifteen neonates with CPS-IVS who underwent PBPV via antegrade venous-arterial loop at the Women and Children's Hospital, Qingdao University between September 2020 and September 2023 were included.
View Article and Find Full Text PDFComparing innovative AI algorithms to assess echocardiographic videos for clinical modelling.
J Thorac Cardiovasc Surg
January 2025
McGill University Health Center, Faculty of Medicine, McGill University, Division of Cardiac Surgery, Department of Surgery, Montreal, Quebec, Canada.
Objective(s): We conduct a comparative study that employs the use of multiple dynamic deep learning algorithms to develop predictive models with video-based echocardiographic images using sample size determination as a key variable to assess optimal performance metrics.
Methods: Our study compares performance of 3D convolutional neural networks, video vision transformers, and hybrid convolutional neural networks and Long Short-Term Memory models within both supervised and semi-supervised domains using variable sample sizes.
Results: For supervised learning, the ResNet3D model achieved the lowest Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) across all training set sizes (200, 400, and 800-video datasets), with the best performance observed on the 800-video training set (MAE: 7.
Background Dry weight management in dialysis patients is crucial but often subjective, primarily based on symptoms. Due to continuous fluid removal in peritoneal dialysis (PD) and intermittent ultrafiltration in hemodialysis (HD), symptom-based assessments may be biased, leading to varying results. Surprisingly, no direct comparison of dry weight changes between PD and HD has been conducted.
View Article and Find Full Text PDFArtificial intelligence-enhanced comprehensive assessment of the aortic valve stenosis continuum in echocardiography.
EBioMedicine
January 2025
CONNECT-AI Research Center, Yonsei University College of Medicine, Seoul, Republic of Korea; Ontact Health Inc., Seoul, Republic of Korea; Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, Republic of Korea.
Background: Transthoracic echocardiography (TTE) is the primary modality for diagnosing aortic stenosis (AS), yet it requires skilled operators and can be resource-intensive. We developed and validated an artificial intelligence (AI)-based system for evaluating AS that is effective in both resource-limited and advanced settings.
Methods: We created a dual-pathway AI system for AS evaluation using a nationwide echocardiographic dataset (developmental dataset, n = 8427): 1) a deep learning (DL)-based AS continuum assessment algorithm using limited 2D TTE videos, and 2) automating conventional AS evaluation.
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