Results 171 to 180 of about 880,199 (399)
GIANT RIGHT CORONARY ARTERY ANEURYSM ASSOCIATED WITH A CORONARY CAMERAL FISTULA TO THE RIGHT ATRIUM
A. Bierzyński +3 more
semanticscholar +1 more source
MO‐hHHO: Multi‐Objective Hybrid Harris Hawks Optimization for Prediction of Coronary Artery Disease
This article proposes a novel Multi‐Objective hybrid Harris Hawks Optimization (MO‐hHHO) algorithm for simultaneous feature selection and hyperparameter tuning in heart disease classification. The approach leverages adaptive exploration‐exploitation strategies to enhance convergence efficiency.
Anu Ragavi Vijayaraj +1 more
wiley +1 more source
Bothaina Mohammed Abdulshakour,1 Muhammad Saeed,2 Mohiuddin M Taher3,41Department of Radiology, Al-Noor Specialist Hospital, Makkah, Saudi Arabia; 2Faculty of Medicine, Department of Radiology, Umm-Al-Qura University, Makkah, Saudi Arabia; 3Department of
Abdulshakour BM, Saeed M, Taher MM
doaj
A resistant case of Kawasaki Disease [PDF]
Kawasaki disease (KD) is an acute febrile illness of childhood of unknown origin which may cause coronary arteritis and death. The Maltese incidence has been calculated at 3.2/100,000 population 4 years of age, similar to that reported in European ...
Grech, Victor E. +2 more
core
The article develops a collaborative multirobot navigation system‐assisted magnetic catheter guidance and shape perception method using the information fusion of robotic vascular ultrasound imaging and electromagnetic tracking to reconstruct the 3D catheter's shape and vasculature. Results verify the effectiveness of the system and the potential of the
Zhengyang Li +5 more
wiley +1 more source
Right ventricular performance in patients with coronary artery disease.
Jack Ferlinz +3 more
openalex +1 more source
IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition
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
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang +6 more
wiley +1 more source
Giant right coronary artery aneurysm with fistula in childhood
John S. Wright +3 more
openalex +1 more source

