Results 151 to 160 of about 890,129 (351)

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

Simulation training significantly improves the performance of novice students achieving the standard transesophageal echocardiography views

BMC Medical Education
Background Transesophageal echocardiography (TEE) is an important cardiovascular imaging modality, offering detailed images surpassing other techniques, including transthoracic echocardiography.
Aleksander Siniarski, Paweł Piątek, Aleksandra Karcińska, Alicia del Carmen Yika, Kamil Szostek, Tomasz Dziwiński, Maciej Stąpór, Karolina Golińska-Grzybała, Adam Piórkowski, Andrzej Gackowski   +9 more
doaj   +1 more source

ReninAngiotensinAldosterone System Gene Polymorphisms and Coronary Artery Disease: Detection of Gene-Gene and Gene-Environment Interactions

, 2012
En‐Zhi Jia, Zhenxia Xu, Chang–Yan Guo, Li Li, Yan Gu, Tiebing Zhu, Lian‐Sheng Wang, Kejiang Cao, Wen‐Zhu Ma, Zhijian Yang   +9 more
openalex   +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

Association of D-dimer to albumin ratio with adverse cardiovascular outcomes in ischaemic heart failure patients with diabetes mellitus: a retrospective cohort study

BMJ Open
Objective To determine the association of D-dimer to albumin ratio (DAR) with major adverse cardiovascular events (MACE) after percutaneous coronary intervention (PCI) in ischaemic heart failure patients with diabetes mellitus.Design A retrospective ...
Xiaolong Lin, Jinghua Liu, Siyuan Chen, Qiuyu Li, Xiaowen Bo, Donghui Zhao, Qian Fan   +6 more
doaj   +1 more source

Coronary artery bypass surgery plus medical therapy versus medical therapy alone for ischaemic heart disease: a protocol for a systematic review with meta-analysis and trial sequential analysis [PDF]

, 2019
Ulver Spangsberg Lorenzen, Katrine B. Buggeskov, Emil Eik Nielsen, Naqash J Sethi, Christian Lildal Carranza, Christian Gluud, Janus Christian Jakobsen   +6 more
openalex   +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

The efficacy of computerized cognitive training in patients with coronary heart disease and cognitive impairment, no dementia: study protocol for a randomized controlled trial

Trials
Background Cognitive training has been confirmed to significantly improve the overall cognitive function in patients. For patients with coronary heart disease, in addition to controlling common risk factors, there is a lack of effective evidence for the ...
Yi Ye, Qing Chen, Ruixuan Li, Xiaoyi Wang, Yueling Sun, Fangjiang Li, Xiaoping Liu, Le Wang, Xinhui Ning, Hongsen Tian, Wei Zhao, Changsheng Ma, Hongjia Zhang, Yong Zeng   +13 more
doaj   +1 more source

Machine learning insight into the role of imaging and clinical variables for the prediction of obstructive coronary artery disease and revascularization: An exploratory analysis of the CONSERVE study

, 2020
Lohendran Baskaran, Xiaohan Ying, Zhuoran Xu, Subhi J. Al’Aref, Benjamin C. Lee, Sang‐Eun Lee, Ibrahim Danad, Hyung‐Bok Park, Ravi Bathina, Andrea Baggiano, Virginia Beltrama, Rodrigo Cerci, Eui‐Young Choi, Jung-Hyun Choi, So‐Yeon Choi, Jason Cole, Joon‐Hyung Doh, Sang Jin Ha, Ae‐Young Her, Cezary Kępka, Jang‐Young Kim, Jin-Won Kim, Sang‐Wook Kim, Woong Kim, Yao Lu, Amit Kumar, Ran Heo, Ji Hyun Lee, Ji‐min Sung, Uma Valeti, Daniele Andreini, Gianluca Pontone, Donghee Han, Todd C. Villines, Fay Y. Lin, Hyuk‐Jae Chang, James K. Min, Leslee J. Shaw   +37 more
openalex   +2 more sources

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