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Application and Development of Intelligent Medicine in Traditional Chinese Medicine

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Current Medical Science 2021年第6期41卷 1116-1122页

作者： Yu-yu DUAN Peng-ran liu Tong-tong HUO song-xiang liu song YE Zhe-wei YE Hubei University of Chinese Medicine Wuhan 430072China Department of Orthopedics Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430022China Hubei Provincial Hospital of Traditional Chinese Medicine Wuhan 430060China

As modern science and technology constantly progresses,the fields of artificial intelligence,mixed reality technology,remote technology,*** rapidly ***,these technologies have been gradually applied to the medical field,leading to the development of intelligent ***’s more,intelligent medicine has greatly promoted the development of traditional Chinese medicine(TCM),causing huge changes in the diagnosis of TCM ailments,remote treatment,teaching,***,there are both opportunities and challenges for inheriting and developing ***,the related research progress of intelligent medicine in the TCM in China and abroad over the years is analyzed,with the purpose of introducing the present application status of intelligent medicine in TCM and providing reference for the inheritance and development of TCM in a new era.

关键词： intelligent medicine traditional Chinese medicine development

Application of Artificial Intelligence in Medicine: An Overview

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Current Medical Science 2021年第6期41卷 1105-1115页

作者： Peng-ran liu Lin LU Jia-yao ZHANG Tong-tong HUO song-xiang liu Zhe-wei YE Department of Orthopedics Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430022China

Artificial intelligence(AI)is a new technical discipline that uses computer technology to research and develop the theory,method,technique,and application system for the simulation,extension,and expansion of human *** the assistance of new AI technology,the traditional medical environment has changed a *** example,a patient’s diagnosis based on radiological,pathological,endoscopic,ultrasonographic,and biochemical examinations has been effectively promoted with a higher accuracy and a lower human *** medical treatments during the perioperative period,including the preoperative preparation,surgical period,and postoperative recovery period,have been significantly enhanced with better surgical *** addition,AI technology has also played a crucial role in medical drug production,medical management,and medical education,taking them into a new *** purpose of this review is to introduce the application of AI in medicine and to provide an outiook of future trends.

关键词： artificial intelligence medicine application overview

Artificial Intelligence to Diagnose Tibial Plateau Fractures: An Intelligent Assistant for Orthopedic Physicians

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Current Medical Science 2021年第6期41卷 1158-1164页

作者： Peng-ran liu Jia-yao ZHANG Ming-di XUE Yu-yu DUAN Jia-lang HU song-xiang liu Yi XIE Hong-lin WANG Jun-wen WANG Tong-tong HUO Zhe-wei YE Department of Orthopedics Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430022China Hubei University of Chinese Medicine Wuhan 430070China Department of Orthopedics Wuhan Pu’ai HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China

Objective:To explore a new artificial intelligence(AI)-aided method to assist the clinical diagnosis of tibial plateau fractures(TPFs)and further measure its validity and ***:A total of 542 X-rays of TPFs were collected as a reference *** AI algorithm(RetinaNet)was trained to analyze and detect TPF on the *** ability of the AI algorithm was determined by indexes such as detection accuracy and time taken for *** algorithm performance was also compared with orthopedic ***:The AI algorithm showed a detection accuracy of 0.91 for the identification of TPF,which was similar to the performance of orthopedic physicians(0.92±0.03).The average time spent for analysis of the AI was 0.56 s,which was 16 times faster than human performance(8.44±3.26 s).Conclusion:The AI algorithm is a valid and efficient method for the clinical diagnosis of *** can be a useful assistant for orthopedic physicians,which largely promotes clinical workflow and further guarantees the health and security of patients.

关键词： artificial intelligence tibial plateau fracture diagnosis

Investigation of bubbles escape behavior from low basicity mold flux for high-Mn high-Al steels using 3D X-ray microscope

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International Journal of Minerals,Metallurgy and Materials 2025年第1期32卷 102-110页

作者： Qiang liu xiang Li Shen Du Ming Gao Yanbin Yin Jiongming Zhang State Key Laboratory of Advanced Metallurgy University of Science and Technology BeijingBeijing 100083China

During the continuous casting process of high-Mn high-Al steels,various types of gases such as Ar need to escape through the top of the *** which,the behavior of bubbles traversing the liquid slag serves as a restrictive link,closely associated with viscosity and the thickness of liquid *** contrast to two-dimensional surface observation,three-dimensional(3D)analysis method can offer a more intuitive,accurate,and comprehensive ***,this study employs a 3D X-ray microscope(3D-XRM)to obtained spatial distribution and 3D morphological characteristics of residual bubbles in mold flux under different basicity of liquid slag,different temperatures,and different holding *** results indicate that as basicity of slag increases from 0.52 to 1.03,temperature increases from 1423 to 1573 K,the viscosity of slag decreases,the floating rate of bubbles *** addition,when holding time increases from 10 to 30 s,the bubbles floating distance increases,and the volume fraction and average equivalent sphere diameter of the bubbles solidified in the mold flux gradually *** one word,increasing the basicity,temperature,and holding time leading to an increase in the removal rate of bubbles especially for the *** findings of bubbles escape behavior provide valuable insights into optimizing low basicity mold flux for high-Mn high-Al steels.

关键词： mold flux low basicity bubbles three-dimensional X-ray microscope viscosity

Mutual-structure weighted guided image filtering for depth map restoration

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Optoelectronics Letters 2025年第1期21卷 51-56页

作者： liu Zijian song Jian CHEN Quanmin XU Jiangtao Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology School of Microelectronics Tianjin University Spikesee Technology Co. Ltd.

Although guided image filtering(GIF) is known for preserving edges and fast computation, it may produce inaccurate outputs in depth map restoration. In this paper, a novel confidence-weighted GIF called mutual-structure weighted GIF(MSWGIF) is proposed, which replaces the mean filtering strategy in GIF during handling overlapping windows. The confidence value is composed of a depth term and a mutual-structure term, where the depth term is utilized to protect the edges of the output, and the mutual-structure term helps to select accurate windows during the structure characteristics of the guidance image are transferred to the output. Experimental results show that MSWGIF reduces the root mean square error(RMSE) by an average of 12.37%, and the average growth rate of correlation(CORR) is 0.07% on average. Additionally, the average growth rate of structure similarity index measure(SSIM) is 0.34%.

关键词： Wiener filtering

Stochastic Augmented-Based Dual-Teaching for Semi-Supervised Medical Image Segmentation

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Computers, Materials & Continua 2025年第1期82卷 543-560页

作者： Hengyang liu Yang Yuan Pengcheng Ren Chengyun song Fen Luo School of Computer Science and Engineering Chongqing University of TechnologyChongqing400054China College of Artificial Intelligence Chongqing Technology and Business UniversityChongqing400067China

Existing semi-supervisedmedical image segmentation algorithms use copy-paste data augmentation to correct the labeled-unlabeled data distribution ***,current copy-paste methods have three limitations:(1)training the model solely with copy-paste mixed pictures from labeled and unlabeled input loses a lot of labeled information;(2)low-quality pseudo-labels can cause confirmation bias in pseudo-supervised learning on unlabeled data;(3)the segmentation performance in low-contrast and local regions is less than *** design a Stochastic Augmentation-Based Dual-Teaching Auxiliary Training Strategy(SADT),which enhances feature diversity and learns high-quality features to overcome these *** be more precise,SADT trains the Student Network by using pseudo-label-based training from Teacher Network 1 and supervised learning with labeled data,which prevents the loss of rare labeled *** introduce a bi-directional copy-pastemask with progressive high-entropy filtering to reduce data distribution disparities and mitigate confirmation bias in *** the mixed images,Deep-Shallow Spatial Contrastive Learning(DSSCL)is proposed in the feature spaces of Teacher Network 2 and the Student Network to improve the segmentation capabilities in low-contrast and local *** this procedure,the features retrieved by the Student Network are subjected to a random feature perturbation *** two openly available datasets,extensive trials show that our proposed SADT performs much better than the state-ofthe-art semi-supervised medical segmentation *** only 10%of the labeled data for training,SADT was able to acquire a Dice score of 90.10%on the ACDC(Automatic Cardiac Diagnosis Challenge)dataset.

关键词： Semi-supervised medical image segmentation contrastive learning stochastic augmented

Comparative proteomic analysis of plasma exosomes reveals the functional contribution of N-acetyl-alpha-glucosaminidase to Parkinson’s disease

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Neural Regeneration Research 2025年第10期20卷 2998-3012页

作者： Yuan Zhao Yidan Zhang Xin liu Jian Zhang Ya Gao Shuyue Li Cui Chang xiang liu Guofeng Yang Department of Geriatrics Second Hospital of Hebei Medical UniversityShijiazhuangHebei ProvinceChina Department of Neurosurgery The Second Hospital of Hebei Medical UniversityShijiazhuangHebei ProvinceChina

Parkinson’s disease is the second most common progressive neurodegenerative disorder,and few reliable biomarkers are available to track disease *** proteins,DNA,mRNA,and lipids carried by exosomes reflect intracellular changes,and thus can serve as biomarkers for a variety of *** this study,we investigated alterations in the protein content of plasma exosomes derived from patients with Parkinson’s disease and the potential therapeutic roles of these proteins in Parkinson’s *** a tandem mass tag-based quantitative proteomics approach,we characterized the proteomes of plasma exosomes derived from individual patients,identified exosomal protein signatures specific to patients with Parkinson’s disease,and identified N-acetyl-alpha-glucosaminidase as a differentially expressed protein.N-acetyl-alpha-glucosaminidase expression levels in exosomes from the plasma of patients and healthy controls were validated by enzyme-linked immunosorbent assay and western *** results demonstrated that the exosomal N-acetyl-alpha-glucosaminidase concentration was not only lower in Parkinson’s disease,but also decreased with increasing Hoehn-Yahr stage,suggesting that N-acetyl-alpha-glucosaminidase could be used to rapidly evaluate Parkinson’s disease ***,western blot and immunohistochemistry analysis showed that N-acetyl-alpha-glucosaminidase levels were markedly reduced both in cells treated with 1-methyl-4-phenylpyridinium and cells overexpressingα-synuclein compared with control ***,N-acetyl-alpha-glucosaminidase overexpression significantly increased cell viability and inhibitedα-synuclein expression in 1-methyl-4-phenylpyridinium-treated *** together,our findings demonstrate for the first time that exosomal N-acetyl-alpha-glucosaminidase may serve as a biomarker for Parkinson’s disease diagnosis,and that N-acetyl-alpha-glucosaminidase may reduceα-synuclein expression and 1-methyl-4-phenylpyridinium-induced n

关键词： biomarker diagnosis exosomes N-acetyl-alpha-glucosaminidase Parkinson’s disease proteomic α-synuclein

氧化型低密度脂蛋白对小鼠树突状细胞功能影响的研究

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中华微生物学和免疫学杂志 2018年第1期38卷 23-30页

作者：宋翔刘兴德张莉何艳贵州医科大学附属医院心血管内科贵阳550004

目的探讨氧化型低密度脂蛋白（OxLDL）对树突状细胞（DC）功能的影响，为了解DC在动脉粥样硬化中的作用提供实验基础。方法采用免疫磁珠和流式细胞仪分选技术，分选小鼠脾脏DC、动脉壁DC和初始T细胞。采用实时荧光定量PCR技术，检测DC C... 详细信息

目的探讨氧化型低密度脂蛋白（OxLDL）对树突状细胞（DC）功能的影响，为了解DC在动脉粥样硬化中的作用提供实验基础。方法采用免疫磁珠和流式细胞仪分选技术，分选小鼠脾脏DC、动脉壁DC和初始T细胞。采用实时荧光定量PCR技术，检测DC Chop、Caspase-3、HMOX-1、TLR、CD36和CD86基因的表达。采用DC与T细胞共培养技术和流式细胞术，分析DC对T细胞分化的调控作用。结果OxLDL促进小鼠脾脏和动脉壁DC Chop、Caspase-3和HMOX-1基因的表达且能被活性氧（ROS）的抑制剂NAC所抑制。OxLDL能够诱导小鼠脾脏和动脉壁DC高表达CD36、TLR4和CD86。OxLDL能够促进小鼠脾脏DC诱导初始T细胞向Th17细胞分化。结论OxLDL通过ROS依赖的途径促进DC Chop、Caspase-3和HMOX-1基因的表达。OxLDL能够诱导DC高表达CD36、TLR4和CD86。OxLDL作用于DC能够诱导初始T细胞向Th17细胞分化。

关键词：氧化型低密度脂蛋白树突状细胞血红素氧合酶1 CD4+T细胞

Dispatchable Capability of Aggregated Electric Vehicle Charging in Distribution Systems

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Energy Engineering 2025年第1期122卷 129-152页

作者： ShiqianWang Bo liu Yuanpeng Hua Qiuyan Li Binhua Tang Jianshu Zhou Yue xiang Economic and Technology Research Institute State Grid Henan Electric Power CompanyZhengzhou450052China College of Electrical Engineering Sichuan UniversityChengdu610065China

This paper introduces a method for modeling the entire aggregated electric vehicle(EV)charging process and analyzing its dispatchable *** methodology involves developing a model for aggregated EV charging at the charging station level,estimating its physical dispatchable capability,determining its economic dispatchable capability under economic incentives,modeling its participation in the grid,and investigating the effects of different scenarios and EV penetration on the aggregated load dispatch and dispatchable *** results indicate that using economic dispatchable capability reduces charging prices by 9.7%compared to physical dispatchable capability and 9.3%compared to disorderly ***,the peak-to-valley difference is reduced by 64.6%when applying economic dispatchable capability with 20%EV penetration and residential base load,compared to disorderly charging.

关键词： Aggregated charging dispatchable capability peak shaving and valley filling the economics of charging demand response