Endless possibilities in academia
School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China.
Address correspondence to: Rongguo Yan, Department of Biomedical Engineering, School of Health Science and Engineering, University of Shanghai for Science and Technology, No. 516 Jungong Road, Yangpu, Shanghai 200093, P. R. China. E-mail: yanrongguo@usst.edu.cn.
DOI: https://doi.org/10.61189/017119gmeubf
Received February 21, 2025; Accepted April 16, 2025; Published December 31, 2025
Highlights
● This paper presents a new method for brain injury detection, which uses eddy current damping technology. This method is more convenient and faster than the traditional detection method.
● This paper simulates the method in COMSOL software and then verifies it through experiments. The feasibility of the method is proved through the combination of simulation and experiments.
Research Article |Published on: 31 December 2025
[Progress in Medical Devices] 2025; 3 (4): 202-210
He Ren*, Yina Zhang*, Yutong Xie*, Anqi Wu, Xianglun Kong, Chenxiao Bai, Miao Yu, Yimeng Wang, Ping Li
Faculty of Medical Instrumentation, Shanghai University of Medicine and Health Sciences, Shanghai 201318, China.
*The authors contribute equally.
Address correspondence to: Ping Li, Faculty of Medical Instrumentation, Shanghai University of Medicine and Health Sciences, No. 279, Zhouzhu Highway, Pudong New Area, Shanghai 201318, China. Tel: +86-13764055848. E-mail: lip@sumhs.edu.cn.
DOI: https://doi.org/10.61189/517419bnpxap
Received July 17, 2025; Accepted September 29, 2025; Published December 31, 2025
Highlights
● Based on 8,110 OAI X-ray images, 18 radiomic features were processed and selected, with SMOTE combined with category weight balancing employed to address data imbalance.
● Among eight machine learning models, the SVM achieved the best performance.
● SHAP and LIME analyses enhanced model interpretability by identifying key radiomic features influencing predictions.
Research Article |Published on: 31 December 2025
[Progress in Medical Devices] 2025; 3 (4): 211-222.
Siqi Wang*, Danhong Li*, Yina Zhang*, Yu Wang, Linrong Yuan, Miao Yu, Jianghui Li, Yimeng Wang, Ping Li
Faculty of Medical Instrumentation, Shanghai University of Medicine and Health Sciences, Shanghai 201318, China.
*These authors are co-first authors.
Address correspondence to: Ping Li, Faculty of Medical Instrumentation, Shanghai University of Medicine and Health Sciences, 279 Zhouzhu Highway, Pudong New Area, Shanghai 201318, China. Tel: +86-13764055848. E-mail: lip@sumhs.edu.cn.
Declaration of ethics: The study was approved by the Ethics Review Committees of the Medical University of Vienna and the University of Queensland.
Declaration of patient consent: The dataset underwent automated screening using neural networks, followed by multiple manual reviews. All EXIF metadata were removed to eliminate any potentially identifiable information. Therefore, the data are considered anonymized to the best of our knowledge.
DOI: https://doi.org/10.61189/446813bjkhvg
Received July 26, 2025; Accepted November 4, 2025; Published December 31, 2025
Highlights
● For the first time, the advantages of two deep learning architectures-SegNet and U-Net-were integrated by averaging their prediction outputs. This ensemble approach overcame the limitations of single models and substantially improved segmentation accuracy.
● The proposed Ensemble Model outperformed both SegNet and U-Net across all major evaluation metrics, including the Intersection over Union (IoU, 93.73%), Dice coefficient (84.85%), precision (93.93%), and loss (0.63), confirming the effectiveness of multi-method fusion.
● Considering the complex morphology and indistinct lesion boundaries characteristic of skin diseases, a standardized preprocessing and data augmentation pipeline was developed to enhance the model' s robustness in handling diverse lesion patterns.
Research Article |Published on: 31 December 2025
[Progress in Medical Devices] 2025; 3 (4): 223-233
Wanwen Yang, Lin Mao, Yadan Yang, 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, 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/10.61189/925623shkhmp
Received March 5, 2025; Accepted April 10, 2025; Published December 31, 2025
Highlights
● Systematic classification of anastomosis techniques, including manual sutures, robotic assistance, biomedical adhesives, energy welding, and stapling devices.
● Critical analysis of biodegradable materials in addressing foreign body reactions and balancing degradation and mechanical performance.
● Future directions emphasizing intelligent material design, multimodal technology fusion, and specialized device development.
Review Article |Published on: 31 December 2025
[Progress in Medical Devices] 2025; 3 (4): 234-243
Yuxiang Luo, Yong Wang, Jiuzhou Zhao, Xiangzhou Meng, Yanan Hou, Yao Zheng, Yu Zhou
School of Health Sciences and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
Address correspondence to: Yu Zhou, School of Health Sciences and Engineering, University of Shanghai for Science and Technology, No. 516 Jungong Road, Shanghai 200093, China. Tel: +86-18021042556. E-mail: zhouyu@usst.edu.cn.
DOI: https://doi.org/10.61189/880658qzgyhf
Received April 21, 2025; Accepted August 8, 2025; Published December 31, 2025
Highlights
● Comprehensive Technology Review-It systematically compares three major techniques for reducing thermal damage in electrosurgery.
● Balanced Evaluation Framework-Each method is evaluated across multiple dimensions, including effectiveness, applicability, complexity, and cost.
● Forward-Looking Insight-It discusses future trends such as AI integration and the development of advanced materials for smarter surgical systems.
Review Article |Published on: 31 December 2025
[Progress in Medical Devices] 2025; 3 (4): 244-254
Wensong Yan1 , Shiju Yan1 , Yunhua Xu2
1School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. 2Department of Oncology, Shanghai Chest Hospital, Shanghai 200030, China.
Address correspondence to: Shiju Yan, School of Health Sciences and Engineering, University of Shanghai for Science and Technology, No.580 Jungong Road, Shanghai 200093, China. Tel: +86-18217617984. E-mail: yanshiju@usst.edu.cn.
DOI: https://doi.org/10.61189/828047gamhgw
Received January 13, 2025; Accepted April 15, 2025; Published December 31, 2025
Highlights
● This study introduces a novel method to predict the efficacy of PD1/PD-L1 inhibitors in non-small cell lung can-cer by extracting radiomic features from pre-treatment and post-treatment CT images.
● Integrating biological features and radiomic features enhances predictive performance.
● The newly proposed segmentation model achieved a dice coefficient of 90.09%, enabling accurate lesion seg-mentation.
Research Article |Published on: 31 December 2025
[Progress in Medical Devices] 2025; 3 (4): 255-264
Hongsheng Li1*, Chunhua Zhou2*, Taojing Ran2*, Yao Zhang2, Xiaonan Shen2, Shiju Yan1, Duowu Zou2
1 School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. 2 Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
* The authors contribute equally.
Address correspondence to: Duowu Zou, Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 227 South Chongqing Road, Huangpu District, Shanghai 200025, China. E-mail: zdw_pi@163.com. Shiju Yan, 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: yanshiju@usst.edu.cn.
Acknowledgments: This work was supported by the Medical Engineering Cross-disciplinary Project Special Fund of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, and the University of Shanghai for Science and Technology.
DOI: https://doi.org/10.61189/804304ntkyxb
Received February 15, 2025; Accepted June 18, 2025; Published September 30, 2025
Highlights
● Developed a 37°C constant-temperature electronic control module, including circuit board design and selection of electronic components, ensuring stable and reliable temperature control for the water infusion system.
● Evaluated and optimized the layout and selection of pipelines and valves, ensuring secure, leak-proof water connections, precise valve flow directions, and rapid, reliable valve operation.
● Designed an efficient tailored to the dimensions and shape of the water reservoir, determining optimal parameters including heating power, structural configuration, size, and placement.
Research Article |Published on: 30 September 2025
[Progress in Medical Devices] 2025; 3 (3): 163-173.
Yong Wang, Yu Zhou
School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
Address correspondence to: Yu Zhou, School of Health Sciences and Engineering, University of Shanghai for Science and Technology, No.516 Jungong Road, Shanghai 200093, China. Tel: +86 18021042556. E-mail: zhouyu@usst. edu.cn.
DOI: https://doi.org/10.61189/220864jklusg
Received December 8, 2024; Accepted February 26, 2025; Published September 30, 2025
Highlights
●A systematic introduction to the electrophysiological principles of recurrent laryngeal nerve (RLN) monitoring, the principles of RLN monitoring equipment, and the main RLN monitoring devices currently available.
● A discussion of the standardized procedures for RLN monitoring, along with methods for managing abnormal conditions during surgery.
● An analysis of the development status and future prospects of RLN monitoring technology.
Review Article |Published on: 30 September 2025
[Progress in Medical Devices] 2025; 3 (3): 182-190
Yundi Zhao1,2, Liping Du2, Wei Chen2, Ping Guo2, Chunsheng Wu1,2
1College of Future Technology, Xi'an Jiaotong University, Xi'an 710100, Shaanxi Province, China. 2Institute of Med ical Engineering, Department of Biophysics, School of Basic Medical Sciences, Xi'an Jiaotong University, Xi'an 710061, Shaanxi Province, China.
Address correspondence to: Chunsheng Wu, Institute of Medical Engineering, Department of Bio physics, School of Basic Medical Sciences, Xi'an Jiaotong University, 76 Yanta West Road, Yanta Cam pus, Xi'an 710061, Shaanxi Province, China. E-mail: wuchunsheng@xjtu.edu.cn.
Acknowledgement: This work was supported by National Key Research and Development Program of China, the Ministry of Science and Technology, People's Republic of China (2023YFC2411902).
DOI:https://doi.org/10.61189/417936cenngx.
Received March 12, 2025; Accepted June 18, 2025; Published September 30, 2025.
Highlights
● This review explores advancements in leadless pacemaker technology, focusing on optimized wireless communication, energy-efficient strategies, and artificial intelligence-enhanced clinical applications.
● As a minimally invasive innovation, these devices enhance patient outcomes through adaptive algorithms and secure data transmission. Key developments include load modulation to maintain signal integrity and intelligent remote monitoring for real-time diagnostics.
● The review also addresses cybersecurity challenges and underscores the transformative potential of integrated intelligent systems in revolutionizing cardiac therapeutics.
Review Article |Published on: 30 September 2025
[Progress in Medical Devices] 2025; 3 (3): 191-201
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
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
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
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
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
Chunying Jiao1, Rongguo Yan2, Yueling Li1, Baolin Liu2
1Beijing Institute of Medical Device Testing, Beijing 101111, China. 2School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Address correspondence to: Rongguo Yan, School of Health Science and Engineering, University of
Shanghai for Science and Technology, No.516 Jungong Road, Shanghai 200093, China. E-mail: yanrongguo@usst.edu.cn.
Acknowledgement: This work was supported by the National Key Research and Development Program
(Research and establishment of testing standards for radiation therapy equipment and new technologies
2022YFC2409502).
DOI: https://doi.org/10.61189/338398acvbvn
Received March 13, 2025; Accepted April 10, 2025; Published June 30, 2025
Highlights
● This paper provides an in-depth interpretation of the international technical report IEC TR 62926-2019.
● It offers reference guidance for the development and application of adaptive radiotherapy technology in China, promoting its integration into domestic equipment.
Technical Review |Published on: 30 June 2025
[Progress in Medical Devices] 2025; 3 (2):136-142
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
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
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
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