Results 151 to 160 of about 908,962 (359)

Elevated Risk of Complications in Patients Receiving Dual Antithrombotic Therapy Undergoing Hepatectomy: A Single‐Center Audit of 749 Cases

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This single‐center retrospective study evaluated perioperative outcomes after hepatectomy in 749 patients, including 140 receiving ATT, using propensity score matching to compare ATT and non‐ATT cohorts. Under standardized perioperative management, ATT did not increase major bleeding, transfusion, or severe morbidity overall; however, within the ATT ...
Haruki Mori   +9 more
wiley   +1 more source

Clinical and anamnestic characteristics of patients depending on left ventricular ejection fraction: results of a register study

open access: yesБюллетень сибирской медицины
Aim. To study the clinical and anamnestic features of patients followed up in the Center for Chronic Heart Failure at the Regional Vascular Center according to the data of the corresponding register.Materials and methods.
P. G. Parfenov   +7 more
doaj   +1 more source

Systolic ejection murmurs and the left ventricular outflow tract in boxer dogs [PDF]

open access: yes, 2007
Turbulence of various genesis in the left ventricular outflow tract (LVOT) causes systolic ejection murmurs. The prevalence of murmurs in adult boxer dogs is 50-80%, the majority of which are of low intensity.
Höglund, Katja
core  

IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi   +7 more
wiley   +1 more source

Synthetic Electrocardiogram Spectrogram Generation Using Generative Adversarial Network‐Based Models: A Comparative Study

open access: yesAdvanced Intelligent Systems, EarlyView.
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova   +3 more
wiley   +1 more source

Building an Intelligent Cardiovascular System Platform: Embedding Artificial Intelligence across All Facets of Cardiovascular Medicine

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong   +4 more
wiley   +1 more source

High-rate episodes with simultaneous atrial and ventricular activation in a patient with permanent pacemaker implantation for complete heart block

open access: yesHeartRhythm Case Reports, 2020
Saurabh Ajit Deshpande, MD, DNB, DM (Cardiology)   +1 more
doaj   +1 more source

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