Results 251 to 260 of about 1,382,114 (327)

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo, Lidong Yang, Tiantian Xu, Dong Sun   +3 more
wiley   +1 more source

VEGF-A cis-located SNPs on human chromosome 6 associated with VEGF-A plasma levels and survival in a coronary disease cohort. [PDF]

BMC Cardiovasc Disord
Meza-Alvarado JC, Pilbrow AP, Frampton CM, Cameron VA, Richards AM, Troughton RW, Doughty RN, Page RA, Mallard B, Bromhead C, Palmer BR.   +10 more
europepmc   +1 more source

A Soft‐Tip Hydraulically Steerable Catheter for Enhanced Flexibility and Safety in Vascular Interventions

Advanced Intelligent Systems, EarlyView.
This study introduces a hydraulically steerable catheter with a soft tip in vascular procedures. The steering soft tip achieves a minimal diameter of 2.6 mm and supports a 180° bend. Real‐time shape and position tracking, facilitated by segmentation and endpoint detection techniques, improves navigation.
Jingyi Kang, Ye Wang, Jiayuan Liu, Zhuhao Wang, Xuan Yang, Jie Wang, Jian Wu, Guochen Ning, Boyu Zhang, Hongen Liao   +9 more
wiley   +1 more source

Changes in coronary disease management decisions in real-world practice between 2015 and 2023: insights from the EVAREST/BSE-NSTEP observational study. [PDF]

Eur Heart J Cardiovasc Imaging
Johnson CL, Krasner S, Woodward W, Mao E, McCourt A, Dockerill C, Balkhausen K, Chandrasekaran B, Kardos A, Sabharwal N, Firoozan S, Sarwar R, Senior R, Sharma R, Wong K, Augustine DX, Paton M, O'Driscoll J, Oxborough D, Pearce K, Robinson S, Willis J, Leeson P, EVAREST/BSE-NSTEP Investigators.   +23 more
europepmc   +1 more source

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

Advanced 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, Olatunji Omisore, Wenjing Du, Wenke Duan, Chen Bailang, Liu Kun, Lei Wang, Minxin Wei   +7 more
wiley   +1 more source

Evaluating the Safety and Efficacy of Ticagrelor vs. Clopidogrel Following Percutaneous Coronary Intervention in Chronic Coronary Disease. [PDF]

Cureus
Rauf MA, Ziyad M, Mahmood N, Ullah R, Ahmad F, Ullah I, Shah SM.   +6 more
europepmc   +1 more source

Autonomous Recognition of Retained Secretions in Central‐Airway Based on Deep Learning for Adult Patients Receiving Invasive Mechanical Ventilation

Advanced Intelligent Systems, EarlyView.
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, Zhuoran Xiao, Meng Wang, Jianchao Li, Chunjing Tao, Jiangzhen Guo, Yubo Fan   +6 more
wiley   +1 more source

Prognostic significance of myocardial ischaemia during exercise echocardiography in the absence of angiographic evidence of obstructive coronary disease. [PDF]

Eur Heart J Imaging Methods Pract
Omar AMS, Leber R, Barman N, Argulian E.
europepmc   +1 more source

Multivariate Contrastive Predictive Coding with Sliding Windows for Disease Prediction from Electronic Health Records

Advanced Intelligent Systems, EarlyView.
Adaptive multi‐indicator contrastive predictive coding is introduced as a self‐supervised pretraining framework for multivariate EHR time series. An adaptive sliding‐window algorithm and 2D convolutional neural network encoder capture localized temporal patterns and global indicator dependencies, enabling label‐efficient disease prediction that ...
Hongxu Yuan, Xiaozhu Jing, Yuzheng Yan, Wuman Luo   +3 more
wiley   +1 more source

A New Semi-Quantitative Parameter to Assess Functionally Significant Coronary Disease Using Myocardial Contrast Echocardiography. [PDF]

Rev Cardiovasc Med
Long J, Lin J, Tao J, Wang H.
europepmc   +1 more source