Bin Fan

Automating the Evaluation of Artificial Respiration: A Computer Vision Approach

Chaofang Wang, Yali Tong, Shuai Ma, Wenlong Dong et autres

Traditional cardiopulmonary resuscitation (CPR) training faces limitations such as instructor dependency, low efficiency, and subjective assessment. To address these issues, this study proposes a novel computer vision-based method for the automation and objective evaluation of artificial respiration, shifting focus to the long-overlooked …

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Racial disparities, comorbidities, and low body mass index reduce survival after cardiopulmonary resuscitation: a systematic review and meta-analysis

Zhi Du, Shuai Ma, Yalin Tong, Pengfei Zhao et autres

Introduction CPR is crucial for the management of cardiac arrest. However, the impacts of certain individualized factors, such as different ethnicities, body weights, and medical histories, on the efficacy of CPR remain unclear. This meta-analysis clarifies the associations between three individualized factors …

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Key physiological indicators and technological trends in physiology-directed cardiopulmonary resuscitation: A narrative review

Pengfei Zhao, Yalin Tong, Zhi Du, Shuai Ma et autres

Cardiac arrest remains a critical public health challenge with consistently low survival rates worldwide, underscoring the urgent need to optimize the quality of cardiopulmonary resuscitation. Physiology-directed cardiopulmonary resuscitation, through real-time monitoring of parameters such as end-tidal carbon dioxide and diastolic blood pressure, …

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Retrieval-Augmented LLM-Driven Multi-Agent Optimization Framework for Intelligent Manufacturing Scheduling

Xiang Li, Xiaolong Zhou, Jinbo Li, Qingyue Di et autres

Optimizing production scheduling in complex manufacturing environments is essential for improving efficiency and maximizing resource utilization. However, in some situations, traditional optimization methods and current large language models (LLMs) have limitations. We propose a Retrieval-Augmented LLM-driven Multi-Agent Optimization (RALMAO) framework to overcome …

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miR-423-3p alleviates sevoflurane-induced learning and memory dysfunction and nerve damage via negative regulation of GPX4

Li-quan Qiu, Licai Zhang, Bin Fan, Luo Xue

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Diagnostic performance of deep learning-based coronary computed tomography angiography in detecting coronary artery stenosis

Yang Chen, Hong‐Ren Yu, Bin Fan, Yong Wang et autres

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Association between hyperlipidemia and postoperative delirium risk: a systematic review and meta-analysis

Li-quan Qiu, Jian-li Song, Licai Zhang, Bin Fan et autres

Introduction The association between hyperlipidemia and its potential role as a risk factor for postoperative delirium (POD) remains unclear. Methods We systematically searched PubMed, Embase, Web of Science, Cochrane Library, and ClinicalTrials.gov to identify studies meeting the inclusion criteria. Outcomes of interest …

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3DB-ROC Data Structure Organization for Three-Dimensional Building Models

Jiangtao Lei, Bin Fan, Qing Liu, Yongsheng Huang et autres

With the rapid development of technologies such as smart city, digital twin, and metaverse, the data volume of three-dimensional building models is experiencing explosive growth. To address the issue of efficient organization and management of three-dimensional building model data, this paper proposes …

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Fast convergence of shapes using atmospheric inductively coupled plasma

Bin Fan, Qiang Xin, Xiang Hong Wu, Y. C. Zhang et autres

Plasma machining technology is an advanced optical manufacturing technology developed in recent years, which can quickly mitigate or remove surface/subsurface damage caused by conventional optical machining methods, as well as the advantages of efficient, high-precision and high-resolution trimming of optical surface shapes. …

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General anesthesia vs. conscious sedation and local anesthesia for endovascular treatment in patients with posterior circulation acute ischemic stroke: An updated systematic review and meta-analysis

Bin Fan, Li-quan Qiu, Licai Zhang, Qiang Li et autres

Introduction The best anesthetic choice for patients with acute posterior circulation stroke during endovascular treatment (EVT) remains uncertain. Method We searched five databases to identify studies that met the inclusion criteria. Our primary outcome measure was functional independence (FI). Secondary outcomes were …

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Feedback Devices for Cardiopulmonary Resuscitation: A Narrative Review

Yuxin Wang, Shuai Ma, Zetao Chen, Bin Fan et autres

The application of feedback devices for cardiopulmonary resuscitation (CPR) can effectively enhance the quality of life-saving treatment during CPR. This article is a narrative review that selects literature on feedback devices used in chest compression and provides a comprehensive review and analysis …

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Quality Evaluation Algorithm for Chest Compressions Based on OpenPose Model

Siqi Zhang, Jie Jin, Chaofang Wang, Wenlong Dong et autres

Aiming at the problems of the low evaluation efficiency of the existing traditional cardiopulmonary resuscitation (CPR) training mode and the considerable development of machine vision technology, a quality evaluation algorithm for chest compressions (CCs) based on the OpenPose human pose estimation (HPE) …

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