DOI: https://doi.org/10.61189/619896szhnms
Yibin Zhang1, Yan Wang1, Hongliu Yu2
1School of Medical Devices, Shanghai University of Medicine and Health Sciences, Shanghai 201318, China. 2School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Address correspondence to: Hongliu Yu, School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai city Jungong road 516, Shanghai 200093, China. E-mail: yhl98@hotmail.com.
DOI:https://doi.org/10.61189/961030gznunx
Received June 21, 2024; Accepted November 20, 2024; Published December 31, 2024
Highlights
● In prosthetics, using AI algorithms to identify the fused sensor data as known walking patterns has extremely strong expandability. Moreover, as the learning data continues to expand, the robustness of the model itself also increases accordingly.
● There are numerous AI algorithms currently available. The effective utilization of algorithm combination techniques to learn from each other’s strengths can significantly improve the accuracy of identification. The combined model of convolutional neural networks (CNN) and bidirectional long short term memory (LSTM) attempted in this paper has witnessed a significant improvement in its comprehensive recognition rate.
● In the practical application of prosthetics, the real-time performance during the mode switching transition period is particularly important as it can reflect the flexibility of the prosthetics. In this paper, the algorithm optimized by the AI model has controlled the delay rate within one gait cycle, greatly enhancing the safety and reliability of pro-sthetics in actual use.
Research Article |Published on: 31 December 2024
[Progress in Medical Devices] 2024; 2 (4): 144-152
Haoyuan Su1, Yuehua Liao2, Shu Wu1, Jun Ji1, Shuya An1, Dongdong Zeng2
1School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China; 2School of Medical device, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China.
Address correspondence to: Dongdong Zeng, School of Medical device, Shanghai University of Medicine & Health Sciences, No. 268 Zhouzhu Highway, Pudong, Shanghai 201318, China. E-mail: zengdd@sumhs.edu.cn.
DOI: https://doi.org/10.61189/403384jfzmyx
Highlights
● In the field of bioanalysis, a new biosensor technology based on functionalized magnetic beads is leading a new direction in protein detection. With its excellent separation efficiency and sensitivity, it provides a powerful tool for early disease diagnosis and biomarker monitoring.
● This article explores the latest advancements in this technology, including innovative magnetic bead designs, diverse detection strategies, and the technical challenges and future development directions. It reveals the potential and application prospects of biosensor technology in biomarker detection.
Review Article |Published on: 31 December 2024
[Progress in Medical Devices] 2024; 2 (4): 174-186
Yan Wang, Liwen Chen
School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Address correspondence to: Liwen Chen, School of Health Science and Engineering, University of Shanghai for Science and Technology, No.516 Jungong Road, Yangpu District, Shanghai 200093, China. E-mail: chenlw@usst.edu.cn.
DOI:https://doi.org/10.61189/974215qcjfzk
Highlights
● This paper presents a comprehensive review of the advancements in finite element analysis (FEA) within the field of prosthodontics over the past five years.
● It examines the role of FEA in aiding the selection of restorative materials, enhancing prosthetic designs, and in vestigating the dynamic interactions between prostheses and natural dentition.
● Integrating FEA findings with clinical practice enhances treatment outcomes and patient satisfaction.
Review Article |Published on: 31 December 2024
[Progress in Medical Devices] 2024; 2 (4): 187-202
Haonan Geng1, Xudong Guo1, Haibo Lin1, Youguo Hao2, Guojie Zhang3
1School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. 2Shanghai Putuo District People’s Hospital, Shanghai 200060, China. 3LingYuan Iron and Steel CO., LTD, Lingyuan 122500, Liaoning Province, China.
Address correspondence to: Xudong Guo, School of Health Science and Engineering, University of Shanghai for Science and Technology, No.516 Jungong Road, Yangpu District, Shanghai 200093, China. Email: guoxd@usst.edu.cn; Youguo Hao, Shanghai Putuo District Central Hospital, No.1291 Jiangning Road, Putuo District, Shanghai, 200060, China. Email: youguohao6@163.com.
DOI: https://doi.org/10.61189/673672yizrwd
Received September 8, 2024; Accepted November 6, 2024; Published December 31,2024
Highlights
●Gait prediction relies on multimodal sensor data, and the acquisition of multimodal information, such as physical sensors and bioelectrical signal sensors, is introduced in order to monitor and analyze the lower limb movement in real time, and provide a data basis for prediction.
● The application of machine learning algorithms in gait prediction technology, such as Support Vector Machine, Random Forest, and Back Propagation Neural Network, is reviewed to construct an optimized gait prediction model, which provides effective support for the intelligent control of exoskeleton.
● Compared with machine learning algorithms, the article summarizes the researchers’ efforts to extract and un derstand the hidden patterns in gait data by constructing neural network models related to different deep learning algorithms, which are used to improve the accuracy and robustness of gait prediction.
Review Article |Published on: 31 December 2024
[Progress in Medical Devices] 2024; 2 (4): 161-173
Yue Wang1, Miao Zhou1, Pengxin Li2, Lianbing Gu2
1Department of Anesthesiology, The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing Medical University, Nanjing 210009, Jiangsu, China. 2Xuzhou Medical University, Jiangsu Province Key Laboratory of Anesthesiology, Jiangsu Province Key Laboratory of Anesthesia and Analgesia Application Technology, Xuzhou 221002, Jiangsu, China.
Address correspondence to: Lianbing Gu, The Affiliated Cancer Hospital of Nanjing Medical University, Department of Anesthesiology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing Medical University, Nanjing 210009, Jiangsu, China. E-mail: 13951947684@163.com.
Received March 15, 2023; Accepted April 27, 2023; Published June 30, 2023
DOI: https://doi.org/10.61189/343605tjncke
Highlights
● This review focuses on literature regarding end-tidal carbon dioxide monitoring for non-intubated patients.
● Partial pressure of carbon dioxide monitoring can benefit non-intubated patients.
● As carbon dioxide detection technology continues to improve, end-tidal carbon dioxide monitoring is expected to be used in more medical scenarios.
Review Article |Published on: 30 June 2023
[Perioperative Precision Medicine] 2023; 1 (1): 15-23.
Yimeng Zhang, Yan Wu, Bo Yang, Qianwen Lou
Department of Health Management Center, Taikang Xianlin Drum Tower Hospital, Nanjing 210046, Jiangsu Province, China.
Address correspondence to: Qianwen Lou, Department of Health Management Center, Taikang Xianlin Drum Tower Hospital, No.188 Lingshan North Road, Qixia District, Nanjing 210046, Jiangsu Province, China. Tel: +86-13912901022. E-mail: louqw@tkhealthcare.com.
DOI:https://doi.org/10.61189/228297jtlsqa
Received April 9, 2024; Accepted January 15, 2025; Published January 31, 2025
Highlights
● Cognitive intervention combined with aerobic limb rehabilitation significantly improves neurological and motor functions in hemiplegic patients with hypertensive intracerebral hemorrhage.
● This approach enhances psychological resilience and quality of life, showing substantial benefits for patient recovery.
● Integrating professional education, psychological support, and family involvement promotes comprehensive rehabilitation outcomes.
Research Article |Published on: 31 January 2025
[Precision Nursing] 2025; 1 (1): 1-10
Yixuan Tian1, Chen Zhao2, Wenxiu Yang1, Rong Zhang2
1Department of Scientific Research Management, The First Affiliated Hospital of Baotou Medical College, Baotou 014010, Inner Mongolia Autonomous Region, China. 2Department of Nursing, The First Affiliated Hospital of Baotou Medical College, Baotou 014010, Inner Mongolia Autonomous Region, China.
Address correspondence to: Rong Zhang, Department of Nursing, The First Affiliated Hospital of Baotou Medical College, No.41 Shady Road, Kundulun District, Baotou 014010, Inner Mongolia Autonomous Region, China. Tel: +86-15848848666. E-mail: 121522271@qq.com.
DOI: https://doi.org/10.61189/848035dodpre
Received September 14, 2024; Accepted January 10, 2025; Published January 31, 2025
Highlights
● High-quality nursing intervention significantly reduced anxiety and depression levels in gynecological patients after laparoscopy, with the observation group showing lower self-rating anxiety scale and self-rating depression scale scores compared to the control group.
● The observation group reported significantly lower pain scores at 6, 24, 48, and 72 hours post-surgery compared to the control group, indicating effective postoperative pain management.
● The observation group exhibited better quality of life, enhanced self-care abilities, and higher nursing satisfaction compared to the control group, with significant improvements in physical function, mental health, and selfcare skills .
Research Article |Published on: 31 January 2025
[Precision Nursing] 2025; 1 (1): 18-24
Jiamei Wu1*, Wenxiu Yang2*, Huiting Ji1, Yu Zhang1, Haotian Li3
1Department of Nursing, The First Affiliated Hospital of Baotou Medical College, Baotou 014010, Inner Mongo lia Autonomous Region, China. 2Department of Scientific Research Management, The First Affiliated Hospital of Baotou Medical College, Baotou 014010, Inner Mongolia Autonomous Region, China. 3Department of General Surgery, The First Affiliated Hospital of Baotou Medical College, Baotou 014010, Inner Mongolia Autonomous Re gion, China.
*The authors contribute equally.
Address correspondence to: Haotian Li, Department of General Surgery, The First Affiliated Hospital of Baotou Medical College, No.41 Shady Road, Kundulun District, Baotou 014010, Inner Mongolia Au tonomous Region, China. Tel: +86-13947239957. E-mail: 631138234@qq.com.
DOI: https://doi.org/10.61189/600250wipkqt
Received September 19, 2024; Accepted January 7, 2025; Published January 31, 2025
Highlights
● The dynamic nursing quality feedback model significantly improves psychological flexibility, nutritional status, and self-management abilities in elderly patients undergoing radical resection for colon cancer.
● This precise nursing approach enhances patient satisfaction, promotes awareness of postoperative care, and effectively reduces psychological distress.
● The findings underscore the clinical value of implementing dynamic feedback systems to refine nursing practices and improve rehabilitation outcomes.
Research Article |Published on: 31 January 2025
[Precision Nursing] 2025; 1 (1): 25-32
Hongtao Shen, Qingyun Meng, Mingxia Wei, Jiajia Zha
School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Address correspondence to: Qingyun Meng, School of Health Science and Engineering, University of Shanghai for Science and Technology, Yangpu District, Shanghai 200093, China. Tel: +86-13761813609; E-mail: mengqy@sumhs.edu.cn.
DOI: https://doi.org/10.61189/192898kemezc
Received August 23, 2024; Accepted October 16, 2024; Published March 31, 2025
Highlights
● Three types of ankle-foot rehabilitation robots, categorized by structure, are designed to address different stages of rehabilitation training.
● The development of control methods for rehabilitation robots, including integration of multiple control methods, remains a key area of exploration.
● The combination of artificial intelligence algorithms and rehabilitation robots represents a significant and promising research direction.
Review Article |Published on: 31 March 2025
[Progress in Medical Devices] 2025; 3 (1): 43-56
Juxiao Wang, Lin Mao, Weiwei Fan, Chengli Song
Shanghai Institute for Minimally Invasive Therapy, School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Address correspondence to: Lin Mao, Shanghai Institute for Minimally Invasive Therapy, School of Health Science and Engineering, NO.516 Jungong Road, Shanghai 200093, China. Tel: +86-21-55572159. E-mail: linmao@usst.edu.cn.
DOI:https://doi.org/10.61189/392182sdzooq
Received December 31, 2024; Accepted February 19, 2025; Published March 31, 2025
Highlights
●Three types of circular electrodes with varying thicknesses were designed to achieve weight reduction, accompanied by support structures for intestinal tissue on both sides.
●The mechanical properties of the three electrode configurations were systematically compared to determine the optimal thickness for welding.
●In vitro tissue experiments successfully welded the tissue, identifying the optimal welding parameters.
Research Article |Published on: 31 March 2025
[Progress in Medical Devices] 2025; 3 (1): 12-20
Haonan Geng1, Xudong Guo1, Fengqi Zhong2, Haibo Lin1, Guojie Zhang3, Qin Zhang4, Jiaheng Chen1
1School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. 2CloudSemi, Pudong New Area, Shanghai 200120, China. 3LingYuan Iron and Steel CO., LTD, Lingyuan 122500, Liaoning Province, China. 4Medical Engineering Department of Northern Jiangsu People’s Hospital, Yangzhou 225001, Jiangsu Province, China.
Address correspondence to: Xudong Guo, School of Health Science and Engineering, University of Shanghai for Science and Technology, No.516 Jungong Road, Shanghai 200093, China. Email: guoxd@usst.edu.cn.
DOI: https://doi.org/10.61189/164995qvdasw
Received September 29, 2024; Accepted December 3, 2024; Published March 31, 2025
Highlights
● The paper develops a gait prediction control strategy for lower limb exoskeleton robots using a real-time adaptive Kalman filtering algorithm, with public gait data from a Clinical Gait Analysis serving as input.
● The model incorporates motor rotation angle, angular velocity, and angular acceleration as core parameters, calculated based on the principles of uniformly accelerated motion. It achieves gait prediction by initializing parameters, calculating Kalman gain, correcting measurements, and updating the covariance matrix.
● A control strategy guided by normal gait parameters enables the exoskeleton to transition efficiently into the desired motion state during startup and gait phase switching. The system employs a microcontroller and Raspberry Pi as its control core, integrated with Bluetooth communication for effective robot control.
Review Article |Published on: 31 March 2025
[Progress in Medical Devices] 2025; 3 (1): 57-65
主编寄语
《元宇宙医学》创刊词………………………………....白春学(1)
专家述评
元宇宙医学的昨天、今天与明天………………………白春学(3)
如何建设元宇宙医院?………………………宋振举,顾建英,白春学(13)
元宇宙医院的现况与未来 ………………张纪阳,于佳婕,周宸彬,等(22)
人工智能的发展及其在元宇宙医学中的应用前景………………高承实(28)
元宇宙医学数智医疗装备的监管政策研究……………………………………
……………………………………………张宇鸣,张培茗,赵阳光,等(35)
综 述
医学数字人GPT的研究现状及展望 …… 韦 球,蒋维芃,杨超勉,等(43)
医学GPT的研发现状和应用前景 ………………………张宇鸣,白春学(52)
论 著
基于专家系统和神经常微分方程的延迟混合模型构建……………………………
………………………………………………………徐成喜,张 健,姚佳烽(59)
方法学研究
如何制定元宇宙医学共识指南? ……………………………………白春学(66)
医学教育
元宇宙医学教学查房的实践与探索 ……………薛新颖,杨达伟,白春学(73)
产学研融合
BMR一体机应用于控烟 ……………………郑郁婕,孙梦婷,白春学,等(82)
伦理与法规
元宇宙医学的法律法规完善进路——以数字孪生的医学应用为例…………
……………………………………………………吴静萱,孙梦婷,杨达伟(89)
前沿资讯
元宇宙医学数字人GPT研究快报 ……………………………………胡 洁 (2)
数字人肺结节专病BAIMGPT 1.0简介 ………………………………韦 球(94)
数字人OSA专病 BAIMGPT 1.0简介…………………………………陆俊羽(95)
医界智圣:基于LLM技术的医疗科研助手 ……………… 顾佳跃,须晨光(96)
具体目次请下载PDF查看。
Please download the PDF to check the CONTENTS IN BRIEF.
《元宇宙医学》(Metaverse in Medicine;ISSN: 3006-4236)由复旦大学附属中山医院
期刊中心与Zentime出版社联合出版。
|Published on: 28 March 2024
专家述评
元宇宙技术在医疗质量控制中的应用 ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅宋元林,宋振举,钱菊英,等(1)
元宇宙技术的探索与创新:元宇宙医学⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅郭仕薪,孙大伟(9)
元宇宙时代的肺癌筛查与管理⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 王 源,杨达伟,白春学(13)
构建未来医疗体验:元宇宙医学平台的创新硬件与交互技术⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 甘舜轩(16)
综 述
元宇宙技术在心理健康领域的应用有效性⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 傅文杰,孙梦婷,杨达伟(23)
Apple Vision Pro在元宇宙医学中的应用 ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 王 源,杨达伟(27)
医学教育
元宇宙医学对医学教育的颠覆⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅杨达伟(33)
元宇宙教学查房的研究进展与展望⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 白 莉,宋元林,童 琳,等(39)
方法学研究
元宇宙技术在中医诊疗中应用的共识指南制定方法⋅⋅⋅⋅苏士成,梁 冰,蒋维芃,等(46)
伦理与法规
元宇宙医学法律规范与合规监管问题 ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅张 烽(53)
元宇宙时代卫生经济学研究的新变化 ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅谭宝滢,陈丽萍,宣建伟(60)
目次具体目次请下载PDF查看。
Please download the PDF to check the CONTENTS IN BRIEF.
《元宇宙医学》(Metaverse in Medicine;ISSN: 3006-4236)由复旦大学附属中山医院
期刊中心与Zentime出版社联合出版。
|Published on: 28 June 2024
主编寄语
拥抱新质生产力,开创医学新时代⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅顾建英,宋振举,白春学(1)
专题报道:医学新质生产力
医学新质生产力之我见⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 白春学(3)
元宇宙医学与新质生产力⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 崔 岩,吴海波,高承实(11)
元宇宙赋能健康管理的意义及展望 ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 白春学,王悦虹,蒋维芃(16)
医学新质生产力赋能阻塞性睡眠呼吸暂停诊疗新模式⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 白春学,陆俊羽,蒋维芃,等(22)
医学新质生产力视角下的雾化治疗前景 ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 朱文思,王悦虹,蔡沁怡,等(29)
应用医学新质生产力辅助基层医院筛查和诊断早期肺癌 ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅白春学,韦 球,魏雪梅,等(36)
论 著
面向专病电子病历的实体语料库构建方法⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 陈思旭,刘独玉,谭小琴,等(41)
方法学研究
基于真实世界评估 GPT咨询在肺结节管理中的有效性研究方案⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅杨达伟,王宁舫,王 源,等(50)
MGPT临床应用的真实世界研究设计方案 ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 杨达伟,宣建伟,蒋维芃,等(58)
摘要解读
Metaverse: Survey, Applications, Security, and Opportunities摘要及解读 ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 刘思彤,肖 奎(59)
The metaverse in medicine摘要及解读⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅王悦虹(60)
Healthcare in metaverse: a survey on current metaverse applications in healthcare摘要及解读 ⋅⋅⋅⋅⋅⋅⋅⋅⋅朱娅琳,肖 奎(61)
The metaverse in industry 5.0: a human-centric approach towards personalized value creation摘要及解读 ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 陈娇娇,王 洵(62)
The promise of the metaverse in mental health:the new era of MEDverse摘要及解读 ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅闫 宇(63)
Metaverse surgical planning with three-dimensional virtual models for minimally invasive partial nephrectomy摘要及解读⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 阿里木·吐尔孙(64)
消 息
2025年 ATS-ISRD 青年奖初评开始了⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅(50)
第七版《全球前 2% 顶尖科学家榜单 2024》榜单发布,元宇宙医学编委会多人入选 ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅(58)
第 1届医学新质生产力研讨会及临床应用学习班通知 ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅(封二)
具体目次请下载PDF查看。
Please download the PDF to check the CONTENTS IN BRIEF.
《元宇宙医学》(Metaverse in Medicine;ISSN: 3006-4236)由复旦大学附属中山医院期刊中心与Zentime出版社联合出版。
|Published on: 30 September 2024
专家述评
AI时代医学知识创新与传播方式的重构⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 高承实(1)
专题报道:元宇宙医学教育
虚实共生:元宇宙驱动下运动医学教育生态的数字化重构与治理优化⋅⋅⋅⋅⋅⋅⋅ 赵修涵,刘宗玉,牛海涛(6)
5A MedAgent: 面向患者教育的医疗大语言模型多智能体协作系统⋅⋅⋅⋅⋅⋅⋅⋅⋅ 周介立,周禄庭,辛弘毅(12)
住培元宇宙临床思维训练模式探索⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 王源,王利新,白浩鸣,等(17)
元宇宙技术在冠状动脉慢性闭塞病变介入治疗教学中的应用与发展⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 檀亚航,张涛,赵林(21)
AI平台在元宇宙与未来医学课程中应用的初步探讨⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 王源,杨达伟(23)
综述
辅助康复外骨骼机器人研究现状及元宇宙赋能研究的展望⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 朱子睿,王源,杨达伟(26)
元宇宙技术在脑卒中患者康复治疗中的作用⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 张振鹏,王源,杨达伟(32)
方法学研究
云加端OSA诊治训练新模式⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 陆俊羽,蒋维芃,白春学(37)
伦理与法规
虚拟现实技术中的身心健康风险与伦理治理路径:多维度视角的探索⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 朱林蕃,王国豫(43)
指南与共识
元宇宙赋能患者教育中国专家共识⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 元宇宙赋能患者教育中国专家组(54)
摘要解读
Virtual reality in the management of patients with low back and neck pain:a retrospective analysis of 82 people treated solely in the metaverse 摘要及解读⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅钱芃欣(62)
Development of metaverse for intelligent healthcare 摘要及解读⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 刘晓静,陈智鸿(63)
State-of-the-art human-computer-interaction in metaverse 摘要及解读⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 肖顺周,朱涛(64)
CONTENTS IN BRIEF 目次具体目次请下载PDF查看。
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《元宇宙医学》(Metaverse in Medicine;ISSN: 3006-4236)由复旦大学附属中山医院
期刊中心与Zentime出版社联合出版。
|Published on: 30 December 2024
Zui Zou1, Tairan Zhou1,2, Mingyao Chen1, Na Zhao1, Tianying Xu1, Jinjun Bian3
1School of Anesthesiology, Naval Medical University, Shanghai 200433, China. 2College of Basic Medicine, Naval Medical University, Shanghai 200433, China. 3Faculty of Anesthesiology, Changhai Hospital, Naval Medical University, Shanghai 200433, China.
Address correspondence to: Jinjun Bian, Faculty of Anesthesiology, Changhai Hospital, Naval Medical University, 168 Changhai Road,, Shanghai 200433, China. E-mail: jinjunbian@smmu.edu.cn; Tianying Xu, Department of Anesthetic Pharmacology, School of Anesthesiology, Naval Medical University, 168 Changhai Road, Shanghai 200433, China. E-mail: xutianying@smmu.edu.cn.
DOI: https://doi.org/10.61189/372910akmnxk
Acknowledgement: This work was supported by Planning Project of Shanghai Higher Education Association (2QYB24158) and Collaborative Education Project of the Ministry of Education of China (250101414020206).
Received December 11, 2024; Accepted February 10, 2025; Published April 1, 2025
Highlights
● A competency based medical education (CBME) online resource platform is developed to bridge gaps in post graduate anesthesiology education, enhancing both curriculum content and teaching approaches.
● Classical and dynamic knowledge modules are incorporated to support competency-based learning, fostering systematic, self-directed, and lifelong learning.
● Innovative hybrid teaching models and real-time access to updated resources have significant potential to improve clinical decision-making and practical skills.
Brief communication |Published on: 01 April 2025
[Progress in Medical Education] 2025; 1(1): 32-38.
Zhenghuan Song1,2*, Miao Zhou1*, Tingting Bao1, Zhu Yu1, Yihu Zhou1, Mengling Huwang3, Qinyu Bao2, Tongyan Liu3, Jing Tan1,2
1Department of Anesthesiology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing 210009, Jiangsu Province, China. 2Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou 221004, Jiangsu Province, China. 3Department of Thoracic Surgery, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, the Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Collabora tive Innovation Center for Cancer Personalized Medicine, Nanjing 210009, Jiangsu Province, China. 4Department of Clinical Medicine, Bengbu Medical University, Bengbu 233030, Anhui Province, China.
*The authors contribute equally.
Address correspondence to: Jing Tan, Department of Anesthesiology, Jiangsu Cancer Hospital & Jiang su Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, No.42 Baiziting, Xuanwu District, Nanjing 210009, Jiangsu, China. Tel: +86-025-8328465, E-mail:tanjing@ njmu.edu.cn. Tongyan Liu, Department of Thoracic Surgery, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, the Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Key Labo ratory of Molecular and Translational Cancer Research, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing 210009, Jiangsu Province, China. E-mail:liutongyan@njmu.edu.cn
Acknowledgement: This work was supported by the The Educational Research Project of Nanjing Medical Univer sity (SLYB 2023-02).
DOI: https://doi.org/10.61189/882381xoiqse
Received October 28, 2024; Accepted February 17, 2025; Published April 1, 2025
Highlights
●Integrating ideological and political education into anesthesiology residency training enhances doctor-patient communication and humanistic care.
● Residents in the combined training model demonstrated improved professional competence and clinical skills compared to those in the traditional training model.
● Patient satisfaction was significantly higher in the observation group that received additional ideological and political education.
● Mini-CEX and DOPS assessments can effectively measure the impact of the new teaching model on resident performance and patient interactions.
Research Article |Published on: 01 April 2025
[Progress in Medical Education] 2025; 1 (1): 15-22.
1Department of Anesthesiology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, the Affiliated Cancer Hospital of Nanjing Medical University, Nanjing 210009, Jiangsu Province, China. 2Department of Anesthesiology, the Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Nanjing 210009, Jiangsu Province, China. 3Affiliated Anesthesia College of Xuzhou Medical University, Xuzhou 221004, Jiangsu Province, China. 4Department of Nursing, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, the Affiliated Cancer Hospital of Nanjing Medical University, Nanjing 210009, Jiangsu Province, China.
Address correspondence to: Pengyi Li, Department of Anesthesiology, Jiangsu Cancer Hospital, Nanjing 210009, Jiangsu Province, China. Tel: +86-18252057979, Email: lipengyi@njmu.edu.cn.
DOI: https://doi.org/10.61189/937243auxvcj
Received December 4, 2024, Accepted March 3, 2025, Published April 1, 2025
Highlights
● The study highlights the effective integration of visual double-lumen bronchial catheters in anesthesia residency training. It significantly shortens intubation time, enhances first-attempt success rates and surgeon satisfaction.
● This approach notably reduces post-intubation complications, including pharyngeal pain, hoarseness, and dry cough, leading to better patient outcomes and enhanced educational efficacy.
Research Article |Published on: 01 April 2025
[Progress in Medical Education] 2025; 1(1): 23-31.
Zhenghuan Song1,2,*, Qinyu Bao2,*, Jiaqin Cai2, Tingting Bao1, Zhu Yu1, Yihu Zhou1, Mengling Huwang3, Miao Zhou1, Jing Tan1,2
1Department of Anesthesiology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing 210009, Jiangsu Province, China. 2Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou 221004, Jiangsu Province, China. 3Department of clinical medicine, Bengbu medical university, Bengbu 233030, Anhui Province, China.
*The authors contribute equally.
Address correspondence to: Jing Tan, Department of Anesthesiology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, No.42 Baiziting, Xuanwu District, Nanjing 210009, Jiangsu Province, China. Tel: +86-025-8328465. E-mail: tanjing@njmu.edu.cn.
DOI: https://doi.org/10.61189/457747nquzlx
Received November 13, 2024; Accepted February 6, 2025; Published April 1, 2025
Highlights
● Ethical approval is a fundamental step in research for anesthesiology master's students.
● Conflicts between ethical approval timelines and clinical training schedules hinder research progress.
● Lengthy review periods can delay research completion and dissertation submission.
Review Article |Published on: 01 April 2025
[Progress in Medical Education] 2025; 1 (1): 49-54.
School of Anesthesiology, Wannan Medical College, Wuhu 241002, Anhui Province, China.
Address correspondence to: Shangping Fang, Anesthesiology Experimental Training Center, College of Anesthesiology, Wannan Medical College; No.22 Wenchang West Road, Yijiang District, Wuhu 241002, Anhui, China. Tel: +86-19855362767; E-mail: 20180041@wnmc.edu.cn.
DOI: https://doi.org/10.61189/729042rpxfdv
Acknowledgement: This work was supported by the Second Batch of Sample Branch Cultivation and Establish-ment Units of University Party Building in Anhui Province (2023ybzb149), Wannan Medical College Party Building Work Special Project (WK2024DJ06) and Special Project for Ideological and Political Education Counselors of Wannan Medical College, (WK2023SZ05).
Received December 6, 2024; Accepted February 6, 2025; Published April 1, 2025
Highlights
This review proposed Party-building strategies to enhance high-quality employment outcomes of medical majors:
●Strengthen ideological guidance and refine the employment-related ideological and political education system;
●Enhance medical skills to improve employment competitiveness;
●Improve the training system to cultivate precise talents meeting social needs;
●Establish employment assistance and create new job opportunities.
Review Article |Published on: 01 April 2025
[Progress in Medical Education] 2025; 1(1): 55-62.
卷首语
老校长的“胃病”⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 杨秉辉(1)
主编寄语
AI赋能未来医学,开启医疗模式新篇章⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 顾建英,宋振举,白春学(4)
专家述评
医学GPT研发应用之吾见⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 白春学(6)
新质生产力医学中心⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 白春学,阳世雄,梁琼,等(15)
新质生产力时代康养⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 白春学,张黎川,朱文思,等(21)
新质生产力赋能慢性呼吸病健康旅游⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅白春学,蒋维芃,王洵(28)
DeepSeek在医学及相关领域的应用⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 高承实,程元骏(36)
综述
基于病理组学的AI模型助力胶质瘤全流程诊疗决策⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 贺琳茜,刘 欢,章 京,等(44)
数字人GPT在医学教育领域的应用现况及研究进展⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅王源,余情,张敏,等(51)
伦理与法规
人工智能医学应用中的技术路径与法律边界——以强化学习与蒸馏技术为视角⋅⋅⋅⋅⋅ 卢叶婷,杨宇平(57)
CONTENTS IN BRIEF 目次具体目次请下载PDF查看。
Please download the PDF to check the CONTENTS IN BRIEF.
《元宇宙医学》(Metaverse in Medicine;ISSN: 3006-4236)由复旦大学附属中山医院
期刊中心与Zentime出版社联合出版。
目次 |Published on: 30 March 2025
Wenxin Shi, Yajun Hu, Jin Lan, Jun Xiong, Zhiyong Li
Department of Pathology, Faculty of Medical Imaging, Naval Medical University, Shanghai 200082, China.
Address correspondence to: Jun Xiong, Department of Pathology, Faculty of Medical Imaging, Naval Medical University, Xiangyin Road, Yangpu District, Shanghai 200082, China. E-mail: xiongjun2001@163.com; Zhiyong Li, Department of Pathology, Faculty of Medical Imaging, Naval Medical University, Xiangyin Road, Yangpu District, Shanghai 200082, China. E-mail: zhiyongli@smmu.edu.cn.
Acknowledgement: This work was supported by grants from the Shanghai Science (23ZR1477400) and Technology Commission Project (201409004600).
DOI: https://doi.org/10.61189/629158xrbqam
Received October 28, 2024; Accepted January 7, 2025; Published June 30, 2025
Highlights
● Intestinal barrier dysfunction increases the risk of perioperative complications.
● The immunologic barrier is crucial for maintaining intestinal homeostasis.
● Perioperative factors compromise the intestinal immunologic barrier, increasing infection risk.
● An imbalance between intestinal microbiota and immune cells affects postoperative recovery.
● Clinical intervention studies targeting the intestinal barrier are summarized.
Review Article |Published on: 30 June 2025
[Perioperative Precision Medicine] 2025; 3 (2): 54-70
Chenglong Zhu1, Jianhua Xia2, Zui Zou1
1School of Anesthesiology, Naval Medical University, Shanghai 200433, China.2Department of Anesthesiology, Shanghai Pudong New Area People's Hospital, Shanghai 201200, China.
Address correspondence to: Zui Zou, School of Anesthesiology, Naval Medical University, 168 Changhai Road, Yangpu District, Shanghai 200433, China. E-mail: zouzui@smmu.edu.cn.
DOI: https://doi.org/10.61189/905466eqluyw
Received October 26, 2024; Accepted January 7, 2025; Published June 30, 2025
Difficult airways are a common concern for physicians in the department of anesthesiology, emergency medicine, and critical care medicine. SEEKflex (Safe Easy Endotracheal kit-flexible) is a novel multifunctional introducer developed by our team to address difficult airways. It has been registered as a medical device in China (Zhejiang Medical Device Registration Approval No. 20232081322).
The SEEKflex system features a dual-component design, consisting of a primary introducer and a supplementary adapter. With an outer diameter of 4.0 mm and an inner diameter of 2.4 mm, it is compatible with tracheal tubes of an internal diameter exceeding 4.5 mm. The introducer, extending from 43 to 81 cm, is equipped with a flexible steel core for guidance and a smooth polyvinyl chloride (PVC) sheath. This assembly can be securely fastened using a blue locking mechanism, as depicted in Figure 1A-B [1].
SEEKflex can be bent at an appropriate angle due to the malleability of its inner core, allowing it to be easily inserted into the trachea just under the epiglottis in cases of unpredicted difficult airway (Cormack-Lehane Grade III). This procedure is facilitated by a video laryngoscope. The endotracheal position of SEEKflex is confirmed by connecting it to an EtCO2 monitor via the adapter after removing the inner core (Figure 1C). The endotracheal tube can be easily advanced into the trachea using the Seldinger technique, with the guidance of reconnected, post-stretching SEEKflex. In addition, we have developed a “12-step” approach for awake tracheal intubation using SEEKflex and a video laryngoscope, which has yielded satisfactory clinical results [2].
At the distal end of the outer catheter, there is one vent at the top and 4 rows of lateral vents. After removing the inner core and attaching the adapter, local anesthetic can be administrated, and oxygenation can be maintained using a ventilator, like a slender tracheal tube. The original version of this introducer was used for reintubation of COVID-19 patients, and the outer catheter could be left in place for subglottic oxygenation after extubation [3]. This feature is also used for oxygenation maintenance and tracheal intubation in emergency situations during bronchoscopic balloon dilation [4].
Several randomized controlled studies, approved by the Ethics Committee of the Naval Medical University and currently in the process of data collection, may further provide robust evidence of its safety and efficacy. We believe that this new multifunctional introducer can be widely adopted by anesthesiologists due to its versatility across multiple clinical scenarios.
Letter to the Editor |Published on: 30 June 2025
[Perioperative Precision Medicine] 2025; 3 (2): 39-40
Xiaohan Yu1, Haipo Cui1, Hui Zhong2
1Shanghai Institute for Minimally Invasive Therapy, University of Shanghai for Science and Technology, Shanghai 200093, China. 2Medical Engineering Department of Northern, Jiangsu People's Hospital, Yangzhou 225001, Jiangsu Province, China.
Address correspondence to: Haipo Cui, Shanghai Institute for Minimally Invasive Therapy, University of Shanghai for Science and Technology, No. 580, Gongjun Road, Yangpu District, Shanghai 200093, China. Email: h_b_cui@163.com; Hui Zhong, Medical Engineering Department of Northern, Jiangsu People's Hospital, No. 98, Nantong West Road, Guangling District, Yangzhou 225001, Jiangsu Province, China. Email: yzzhonghui@126.com.
DOI: https://doi.org/10.61189/489352mmqzpk
Received November 13, 2024; Accepted March 06, 2025; Published June 30, 2025
Highlights
● Autologous bone grafting remains the primary method for mandibular reconstruction.
● The integration of computer-aided design and 3D printing enhances surgical precision and safety.
● Distraction osteogenesis is a promising alternative, reducing donor site morbidity.
● The mortise-and-tenon structure is a novel fixation method.
Review Article |Published on: 30 June 2025
[Progress in Medical Devices] 2025; 3 (2): 77-84
Shaobo Wang1, Yuan Yao2, Haipo Cui1
1Shanghai Institute for Minimally Invasive Therapy, University of Shanghai for Science and Technology, Shanghai 200093, China. 2Shanghai Songyu Medical Device Co., Ltd., Shanghai 200050, China.
Address correspondence to: Haipo Cui, Shanghai Institute for Minimally Invasive Therapy, University of Shanghai for Science and Technology, Shanghai 200093 Jungong Road, China. E-mail: h_b_cui@163.com.
Acknowledgement: This work was supported by State Key Laboratory of Systems Medicine for Cancer Foundation (KF2407-93).
DOI: https://doi.org/10.61189/606109gzqkrg
Received April 26, 2025; Accepted June 9, 2025; Published June 30, 2025
Highlights
● Analyzing the influence of biological tissue parameters on the effectiveness of radiofrequency ablation.
● Comparing the advantages and limitations of four biological heat transfer models.
● Comparing three evaluation methods for assessing ablation-induced thermal damage.
Review Article |Published on: 30 June 2025
[Progress in Medical Devices] 2025; 3 (2): 96-105
Mingling Wang1, Lien Qi1, Kai Wang2, Jing Zhang3, Xiaoyan Wang1
Departments of 1Operating Room, 2Anesthesiology, 3Nursing, Xuzhou Central Hospital, Xuzhou 221009, Jiangsu Province, China.
Address correspondence to: Xiaoyan Wang, Department of Operating Room, Xuzhou Central Hospital, Jiefang South Road, No. 199, Xuzhou 221009, Jiangsu Province, China. Tel: +86-15351687352; E-mail: 531446635@qq.com; Jing Zhang, Department of Nursing, Xuzhou Central Hospital, Jiefang South Road, No. 199, Xuzhou 221009, Jiangsu Province, China. Tel: +86-18012018586; E-mail: 2038634928@qq.com.
Ethics approval and consent to participate: The study protocol was approved by the Institutional Review Committee of Xuzhou Central Hospital (approval no. XZXY-LK-20220114-027) and conducted in accordance with the ethical principles for medical research involving human subjects described in the Declaration of Helsinki. Prior to inclusion in this study, informed consent was obtained from all participants. Trial Registration clinicaltrials.gov Identifier: CTR20200708.
DOI: https://doi.org/10.61189/082747tokokd
Received July 8, 2024; Accepted September 3, 2024; Published June 30, 2025
Highlights
● Gastrointestinal decompression (GID) near the gastric body reduces nausea, vomiting, and discomfort.
● GID near the gastric body is conducive to exposure of the operative space.
● GID near the gastric body improves postoperative recovery of gastrointestinal function.
Research Article |Published on: 30 June 2025
[Perioperative Precision Medicine] 2025; 3 (2): 48-53
专家述评
人工智能对医学科研范式的重构⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 高承实,程元骏(1)
新质生产力赋能老年人健康⋅⋅⋅⋅⋅⋅⋅⋅⋅ 王悦虹,蒋维芃,胡洁,等(13)
综述
GPT赋能肺功能检查的潜力及前景⋅⋅⋅⋅⋅⋅⋅白春学,刘晓静,李丽,等(21)
GPT赋能感冒诊疗的潜力与挑战⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 刘晓静,王洵,白春学(28)
GPT赋能ARDS诊断和治疗的意义⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 宋振举,尹俊,白春学(36)
医学教育
元宇宙技术在口腔正畸治疗教学中的应用与发展⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 葛昕桐,张栋梁(44)
产学研融合
通过人工智能与医疗元宇宙提升阻塞性睡眠呼吸暂停与肺结节的早期检测⋅⋅⋅⋅⋅⋅ 柳华溢,陈思源,熊彦韬,等(47)
指南与共识
肺结节专家——BAIMGPT白皮书⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 白春学(55)
CONTENTS IN BRIEF 目次具体目次请下载PDF查看。
Please download the PDF to check the CONTENTS IN BRIEF.
《元宇宙医学》(Metaverse in Medicine;ISSN: 3006-4236)由复旦大学附属中山医院
期刊中心与Zentime出版社联合出版。
目次 |Published on: 30 June 2025
Liying Pang1, Xudong Guo1, Qin Zhang2
1School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. 2Medical Engineering Department of Northern Jiangsu People's Hospital, Yangzhou 225001, Jiangsu Province, China.
Address correspondence to: Xudong Guo, School of Health Science and Engineering, University of Shanghai for Science and Technology, No.516 Jungong Road, YangPu District, Shanghai 200093, China. Tel: +86-021-55271115; E-mail: guoxd@usst.edu.cn. Qin Zhang, Medical Engineering Department of Northern Jiangsu People's Hospital, No.98 West Nantong Road, Yangzhou 225001, Jiangsu Province, China. Tel: +86-0514-87373012; E-mail: yzzqin@qq.com.
DOI: https://doi.org/10.61189/072185gbtgzi
Received November 27 2024; Accepted January 15, 2025; Published June 30, 2025
Highlights
● This review presents the current status and challenges of gastrointestinal diseases.
● This review discusses the application of deep learning in diagnosing gastrointestinal diseases.
● This review explores the future development of deep learning in disease diagnosis.
Review Article |Published on: 30 June 2025
[Progress in Medical Devices] 2025; 3 (2): 85-95
Tian Zhou1, Chenglong Zhu1, Feixiang Wu2, Xingzhi Liao3, Wenyun Xu4, Hui Chen5, Jinlong Qu6, Jinfei Shi7, Yaohua Yu8, Ying Huang9, Miao Zhou10, Hua Tang11, Shengyun Cai12, Wenchao Gao13, Zui Zou1
1School of Anesthesiology, Naval Medical University, Shanghai, 200433, China. 2Department of Anesthesiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China. 3Department of Anesthesiology, The 904th Hospital of the Logistics Support Force of the Chinese People's Liberation Army, Wuxi 214044, Jiangsu Province, China. 4Department of Anesthesiology, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, 200003, China. 5Department of Anesthesiology and Perioperative medicine, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai 200434, China. 6Department of Emergency and Critical Care Medicine, Shanghai Changzheng Hospital, Naval Medical University, Shanghai 200003, China. 7Department of Anesthesiology, Anhui Provincial Hospital of the Armed Police, Hefei 230001, Anhui Province, China. 8Department of Anesthesiology, The First Hospital of Putian City, Putian 351100, Fujian Province, China. 9Department of Intensive Care Unit, the Affiliated Huai'an No.1 People's Hospital of Nanjing Medical University, Huai'an 223300, Jiangsu Province, China. 10Department of Anesthesiology, the Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing Medical University, Nanjing 210009, Jiangsu Province, China. 11Department of Thoracic Surgery, Shanghai Changzheng Hospital, Naval Medical University, Shanghai 200003, China. 12Department of Obstetrics and Gynecology, The First Affiliated Hospital of Naval Medical University, Shanghai 200433, China. 13Department of Colorectal Surgery, Shanghai Changzheng Hospital, Naval Medical University, Shanghai 200003, China.
Address correspondence to: Shengyun Cai, Department of Obstetrics and Gynecology, First Affiliated Hospital of Naval Medical University, 168 Changhai Road, Shanghai 200433, China. Email: caicai24@126.com. Wenchao Gao, Department of Colorectal Surgery, Second Affiliated Hospital of Naval Medical University, 415 Fengyang Road, Shanghai 200003, China. Email: gaowenchao2007@163.com. Zui Zou, School of Anesthesiology, Naval Medical University, 168 Changhai Road, Shanghai 200433, China. Email: zouzui@smmu.edu.cn.
Acknowledgement: This study was funded by the following projects: Shanghai Industrial Collaborative Innovation Project (HCXBCY - 2023 – 041, XTCX - KJ - 2024 - 39, HCXBCY - 2024 – 033), 2024 Basic Medicine Innovation Open Topic (JCKFKT - MS - 002), and the 2024 Annual Pharmaceutical Science and Technology Key Research Project of the China Medicine Education Association (2024KTZ011).
DOI: https://doi.org/10.61189/707615erclry
Received February 20, 2025; Accepted February 24, 2025; Published June 30, 2025
Expert Consensus |Published on: 30 June 2025
[Perioperative Precision Medicine] 2025; 3 (2): 41-47
Lin Xin, Wenjie Yu, Yangzhi Liu, Liuxiao Cheng, Zhongxin Hu, Chengli Song
School of Health Sciences and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Address correspondence to: Chengli Song, School of Health Sciences and Engineering, University of Shanghai for Science and Technology, No.516 Jungong Road, Shanghai 200093, China. Tel: +86-15000513058; E-mail: csong@usst.edu.cn.
DOI: https://doi.org/10.61189/483711ymetia
Received December 3, 2024; Accepted March 4, 2025; Published June 30, 2025
Highlights
● Innovative Design: A wire-driven multi-degree-of-freedom electric needle holder enhances laparoscopic suturing flexibility and stability.
● Advanced Motion Control: Two rotational joints enable yaw and pitch movements for precise needle placement in confined spaces.
● Superior Clamping Performance: With a maximum clamping force of 29.6 N an extraction force of 12.9 N, the needle holder prevents slippage.
● 28% Faster Suturing: Reduced operation time due to minimized repositioning in complex procedures.
● Clinical Potential: Validated through diverse tests, demonstrating accuracy and efficiency in minimally invasive surgery.
Research Article |Published on: 30 June 2025
[Progress in Medical Devices] 2025; 3 (2): 127-135
Xuelong Wang1, Changjiang Zhou2, Zhenyi Huang2, Hao Zhao2, Shiju Yan1
1School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. 2Department of Ultrasound, Jinan City People's Hospital, People's Hospital Affiliated to Shandong First Medical University, Jinan 250000, Shandong Province, China.
Address correspondence to: Changjiang Zhou, Department of Ultrasound, Jinan City People's Hospital, No. 001 Xuehu Street, Jinan 250000, Shandong Province, China. Tel: +86-18956153985. E-mail: yanshiju@usst.edu.cn.
DOI: https://doi.org/10.61189/389587wfmupp
Received September 28 2024; Accepted December 16, 2024; Published June 30, 2025
Highlights
● A compact instrument guidance device for minimally invasive surgery was developed, capable of real-time monitoring of angle and key status.
● The device provides navigation information and estimates the lesion depth, aiding in preoperative planning.
Research Article |Published on: 30 June 2025
[Progress in Medical Devices] 2025; 3 (2): 106-114
Siqi Zhao1, Lin Mao1, Chengli Song1, Zhuotianhao Wang2
1Shanghai Institute for Minimally Invasive Therapy, School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. 2Department of Biology, Shenzhen MSU-BIT University, Shenzhen 518000, Guangdong Province, China.
Address correspondence to: Lin Mao, Shanghai Institute for Minimally Invasive Therapy, School of Health Science and Engineering, University of Shanghai for Science and Technology, NO.516 Jungong Road, Yangpu District, Shanghai 200093, China. Tel: +86-21-55572159. E-mail: linmao@usst.edu.cn.
DOI: https://doi.org/10.61189/409228vdbtgj
Received October 23, 2024; Accepted January 21, 2025; Published June 30, 2025
Highlights
● Three different electrode structures, including ring-needle electrode, needle electrode, and cylinder electrode, were designed to accommodate diverse surgical requirements.
● A novel low-temperature plasma ablation electrode features interchangeable tips, enabling surgeons to select appropriate tips based on specific operative situations.
● With increased electric field strength, ring-needle electrodes facilitates liquid medium breakdown, thereby optimizing plasma generation and ablation efficacy.
Research Article |Published on: 30 June 2025
[Progress in Medical Devices] 2025; 3 (2): 115-126