Biomedical Engineering Letters最新文献_第3页

Deep volcanic residual U-Net for nodal metastasis (Nmet) identification from lung cancer 深火山残留U-Net鉴别肺癌淋巴结转移

4区医学

Biomedical Engineering Letters Pub Date : 2023-10-31 DOI: 10.1007/s13534-023-00332-5

M. Ramkumar, K. Kalirajan, U. Pavan Kumar, P. Surya

引用次数: 0

A multi-task model for reliable classification of thyroid nodules in ultrasound images 超声图像中甲状腺结节可靠分类的多任务模型

4区医学

Biomedical Engineering Letters Pub Date : 2023-10-21 DOI: 10.1007/s13534-023-00325-4

Guangxin Xing, Zhengqing Miao, Yelong Zheng, Meirong Zhao

引用次数: 0

Robot-assisted orthopedic surgeries around shoulder joint: where we are? 机器人辅助肩关节整形手术：我们在哪里？

IF 3.2 4区医学

Biomedical Engineering Letters Pub Date : 2023-10-17 eCollection Date: 2023-11-01 DOI: 10.1007/s13534-023-00324-5

Joon-Ryul Lim, Yong-Min Chun

{"title":"Robot-assisted orthopedic surgeries around shoulder joint: where we are?","authors":"Joon-Ryul Lim, Yong-Min Chun","doi":"10.1007/s13534-023-00324-5","DOIUrl":"10.1007/s13534-023-00324-5","url":null,"abstract":"This study aims to comprehensively review the current literatures about robot-assisted techniques for shoulder joint arthroplasty and also in experimental articles or case series about around shoulder soft tissue surgeries including arthroscopy, tendon transfer and brachial plexus surgeries. This article evaluates the existing literature and clinical studies to suggests future direction of robotic-assisted techniques in shoulder joint surgeries. Robotic surgery has emerged as an innovative and transformative technology in orthopedics, offering advancements in surgical precision and optimization particularly during total hip and knee arthroplasty. In shoulder joint, patients specific instrumentation with preoperative planning and intraoperative navigation system are being used. Robotic-assisted shoulder arthroplasty will be introduced. In soft tissue surgery, robot-assisted tendon transfer and around brachial plexus surgeries is being clinically tried. In additions, postoperative robot-assisted rehabilitation after may have potential advantages. With the overall development of several industries including robotic technology, robot-assisted pre-, intra- and post-operative techniques could be an essential part of the overall shoulder surgery. However, further research and larger-scale studies are needed to establish its long-term efficacy, and potential complications.","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"13 4","pages":"553-559"},"PeriodicalIF":3.2,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590334/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49693089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Correction to: Funding of research & innovation in the field of medical technologies and biomedical engineering over the different European framework programmes 更正:研究经费&在不同的欧洲框架方案的医疗技术和生物医学工程领域的创新

4区医学

Biomedical Engineering Letters Pub Date : 2023-10-17 DOI: 10.1007/s13534-023-00331-6

B. W. Rainer

引用次数: 0

CIsense: an automated framework for early screening of cerebral infarction using PPG sensor data CIsense:一个使用PPG传感器数据进行脑梗死早期筛查的自动化框架

4区医学

Biomedical Engineering Letters Pub Date : 2023-10-16 DOI: 10.1007/s13534-023-00327-2

Shresth Gupta, Anurag Singh, Abhishek Sharma

引用次数: 0

Joint spatio-temporal features constrained self-supervised electrocardiogram representation learning 联合时空特征约束下的自监督心电图表征学习

4区医学

Biomedical Engineering Letters Pub Date : 2023-10-15 DOI: 10.1007/s13534-023-00329-0

Ao Ran, Huafeng Liu

引用次数: 0

Robotic-assisted foot and ankle surgery: a review of the present status and the future. 机器人辅助足部和踝关节手术：现状和未来综述。

IF 3.2 4区医学

Biomedical Engineering Letters Pub Date : 2023-10-11 eCollection Date: 2023-11-01 DOI: 10.1007/s13534-023-00328-1

Yeo Kwon Yoon, Kwang Hwan Park, Dong Woo Shim, Seung Hwan Han, Jin Woo Lee, Min Jung

{"title":"Robotic-assisted foot and ankle surgery: a review of the present status and the future.","authors":"Yeo Kwon Yoon, Kwang Hwan Park, Dong Woo Shim, Seung Hwan Han, Jin Woo Lee, Min Jung","doi":"10.1007/s13534-023-00328-1","DOIUrl":"10.1007/s13534-023-00328-1","url":null,"abstract":"The surgical application of robotics has increased significantly since its first application in 1985 for a brain biopsy acquisition. Robotic-assisted surgery has been one of the viable options in various surgical areas, and also in orthopaedic surgery. Robotic-assisted orthopaedic surgery has gained popularity as a mean of improving accuracy, reducing complications and achieving better patient satisfaction. Numerous clinical research studies have demonstrated advantages of robotic-assisted orthopaedic surgery, however, most of that researches were about the total knee arthroplasty, total hip arthroplasty and spine surgery. The application of robotic technology in foot and ankle surgery is in a very nascent stage. Furthermore, there has been little research on intraoperative use of robotics in foot and ankle surgery in literature. A review of previous preclinical studies in foot and ankle robotics and clinical research studies in various fields of robot-assisted orthopaedic surgery shows that its potential application and benefits over conventional techniques, such as total ankle arthroplasty, minimally invasive surgery for foot and ankle trauma or other corrective procedure, and intraoperative biomechanical testing. More studies on practical application of robotic technology to surgical procedure in the field of foot and ankle surgery are needed to confirm its clinical usefulness and cost effectiveness.","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"13 4","pages":"571-577"},"PeriodicalIF":3.2,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590355/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49693090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The landscape of surgical robotics in orthopedics surgery. 骨科手术机器人的前景。

IF 3.2 4区医学

Biomedical Engineering Letters Pub Date : 2023-10-11 eCollection Date: 2023-11-01 DOI: 10.1007/s13534-023-00321-8

Hong Yeol Yang, Jong Keun Seon

{"title":"The landscape of surgical robotics in orthopedics surgery.","authors":"Hong Yeol Yang, Jong Keun Seon","doi":"10.1007/s13534-023-00321-8","DOIUrl":"10.1007/s13534-023-00321-8","url":null,"abstract":"Orthopedic surgery is one of the first surgical specialties to apply surgical robotics in clinical practice, which has become an interesting field over the years with promising results. Surgical robotics can facilitate total joint arthroplasty by providing robotic support to accurately prepare the bone, improving the ability to reproduce alignment, and restoring normal kinematics. Various robotic systems are available on the market, each tailored to specific types of surgeries and characterized by a series of features with different requirements and/or modus operandi. Here, a narrative review of the current state of surgical robotic systems for total joint knee arthroplasty is presented, covering the different categories of robots, which are classified based on the operation, requirements, and level of interaction with the surgeon. The different robotic systems include closed/open platform, image-based/imageless, and passive/active/semi-active systems. The main goal of a robotic system is to increase the accuracy and precision of the operation regardless of the type of system. Despite the short history of surgical robots, they have shown clinical effectiveness compared to conventional techniques in orthopedic surgery. When considering which robotic system to use, surgeons should carefully evaluate the different benefits and drawbacks to select the surgical robot that fits their needs the best.","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"13 4","pages":"537-542"},"PeriodicalIF":3.2,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590337/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49693093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

MS-CFNet: a multi-scale clinical studying-based and feature extraction-guided network for breast fibroadenoma segmentation in ultrasonography MS-CFNet:基于多尺度临床研究和特征提取引导的超声乳腺纤维腺瘤分割网络

4区医学

Biomedical Engineering Letters Pub Date : 2023-10-10 DOI: 10.1007/s13534-023-00330-7

Yongxin Guo, Yufeng Zhou

引用次数: 0

Prediction of complications in diabetes mellitus using machine learning models with transplanted topic model features 利用移植主题模型特征的机器学习模型预测糖尿病并发症

4区医学

Biomedical Engineering Letters Pub Date : 2023-10-06 DOI: 10.1007/s13534-023-00322-7

Benedict Choonghyun Han, Jimin Kim, Jinwook Choi

{"title":"Prediction of complications in diabetes mellitus using machine learning models with transplanted topic model features","authors":"Benedict Choonghyun Han, Jimin Kim, Jinwook Choi","doi":"10.1007/s13534-023-00322-7","DOIUrl":"https://doi.org/10.1007/s13534-023-00322-7","url":null,"abstract":"Abstract Purpose : This study aims to predict the progression of Diabetes Mellitus (DM) from the clinical notes through machine learning based on latent Dirichlet allocation (LDA) topic modeling. Particularly, 174,427 clinical notes of DM patients were collected from the electronic medical record (EMR) system of the Seoul National University Hospital outpatient clinic. Method : We developed a model to predict the development of DM complications. Topics developed by the topic model were exploited as the key feature of our machine-learning model. The proposed model generalized a correlation between topic structures and complications. Results : The model provided acceptable predictive performance for all four types of complications (diabetic retinopathy, diabetic nephropathy, nonalcoholic fatty liver disease, and cerebrovascular accident). Upon employing extreme gradient boosting (XGBoost), we obtained the F1 scores of the predictions for each complication type as 0.844, 0.921, 0.831, and 0.762. Conclusion : This study shows that a machine learning project based on topic modeling can effectively predict the progress of a disease. Furthermore, a unique way of topic model transplanting, which matches the dimension of the topic structures of the two data sets, is presented.","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135352407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0