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Progress in Medical Devices, Volume 4
Issue 3
Development and evaluation of a portable, wireless endoscopic shaving system for minimally invasive orthopedic surgery

Chao Qi1, Kunyu Chen2, Jianfei Sun2 


1Suzhou Dajiang Medical Technology Co., Ltd., Suzhou 215011, Jiangsu, China. 

2State Key Laboratory of Digital Medical Engineering, Jiangsu Key Laboratory of Biomaterials and Devices, School of Biological Science and Medical Engineering, Southeast University, Nanjing 211189, Jiangsu, China.


Address correspondence to: Kunyu Chen, State Key Laboratory of Digital Medical Engineering, Jiangsu Key Laboratory of Biomaterials and Devices, School of Biological Science and Medical Engineering, Southeast University, No. 2 Southeast University Road, Jiangning District, Nanjing 211189, Jiangsu, China. E-mail: 230259214@seu.edu.cn. Jianfei Sun, State Key Laboratory of Digital Medical Engineering, Jiangsu Key Laboratory of Biomaterials and Devices, School of Biological Science and Medical Engineering, Southeast University, No. 2 Southeast University Road, Jiangning District, Nanjing 211189, Jiangsu, China. E-mail: sunzaghi@seu.edu.cn.


DOI: https://doi.org/10.61189/717024hgfqnu


Received November 24, 2025; Accepted March 6, 2026; Published July 3, 2026


Highlights

● This work presents the development of a portable endoscopic shaving system by integrating the control, power supply, and sensing modules within the handle, thereby achieving a lightweight design free of an external host unit, foot pedal, or connecting cables.

● The innovative detachable design significantly simplifies cleaning and sterilization procedures, minimizes the risk of infection and substantially lowers both manufacturing and maintenance costs.

● This device demonstrates parameters and performance comparable to those of existing clinical products, making it suitable for primary care, mobile, and emergency medical settings.

Research Article |Published on: 03 July 2026

[Progress in Medical Devices] 2026; 4 (3): 178-186

DOI: https://doi.org/10.61189/717024hgfqnu
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Issue 2
Optimization of multilayer shell structures for wearable sensors based on polyvinylidene fluoride

Ke Wang, Rongguo Yan, Wenjing Du, Shoucheng Chen


School 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, Jun Gong Road, Yangpu District, Shanghai 200093, China. E-mail: yanrongguo@usst.edu.cn. 


DOI: https://doi.org/10.61189/931077ergknd


Received November 18, 2025; Accepted January 16, 2026; Published June 3, 2026


Highlights 

● Established potential displacement-charge-voltage relation for polyvinylidene fluoride by means of the first-order piezoelectric equation. 

● Applied COMSOL multilayer shell model and multiphysics coupling for calculating the interlayer stress and electric displacement field. 

● Structurally explored how changes to structural parameters impacted sensor performance through the control variable method.

Research Article |Published on: 03 June 2026

[Progress in Medical Devices] 2026; 4 (2): 77-90

DOI: https://doi.org/10.61189/931077ergknd
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A correlation study of paraspinal muscle functions in adolescent idiopathic scoliosis

Rong Pang1, Chen He1, Huidong Wu2

1School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
2Department of Prosthetic and Orthotic Engineering, School of Rehabilitation, Kunming Medical University, Kunming 650032, Yunnan, China.

Address correspondence to: Chen He, School of Health Science and Engineering, University of Shanghai for Science and Technology, No. 516 Jungong Road, Yangpu District, Shanghai 200093, China. E-mail: hechen@usst.edu.cn.

DOI: 
https://doi.org/10.61189/126256lnkxbu

Received November 21, 2025; Accepted April 16, 2026; Published June 18, 2026

Highlights
● Electromyographic activity, muscle stiffness, and pain threshold on the convex side of the scoliotic curve exhibited significantly higher than those on the concave side.
● In adolescent idiopathic scoliosis patients, there was a weak correlation between electromyographic activity, muscle stiffness, and pain threshold of the paraspinal muscles.

Research Article |Published on: 18 June 2026

[Progress in Medical Devices] 2026; 4 (2): 91-97

DOI: https://doi.org/10.61189/126256lnkxbu
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Advances in endoscopic closure devices for postoperative gastrointestinal defects

Yuxiao Li, Junjie Shen, Yuxuan Hou, Shilong Li, Chengli Song, Lin Mao

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/10.61189/030332bzapdu

Received November 28, 2025; Accepted February 7, 2026; Published June 17, 2026

Highlights

● Current innovation in gastrointestinal defect management falls into two main categories: clip-based mechanical compression devices and advanced high-precision endoscopic suturing systems. 

● Through-the-scope clips combined with auxiliary devices offer a strategic solution to overcome the size limitations inherent to single-device closure strategies for larger or complex defects. 

● Future technological development should focus on enhancing reliability, operability, cost-effectiveness, and overall user-friendliness of advanced endoscopic closure devices to broaden their clinical applicability.

Review Article |Published on: 17 June 2026

[Progress in Medical Devices] 2026; 4 (2): 98-115

DOI: https://doi.org/10.61189/030332bzapdu
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Cardiac function state recognition model based on bimodal time–frequency representation

Mingzhi Zhang, Piding Li


School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.


Address correspondence to: Piding Li, School of Health Science and Engineering, University of Shanghai for Science and Technology, No. 516 Jungong Road, Yangpu District, Shanghai 200093, China. E-mail: lpdbyusst@163.com.


DOI: https://doi.org/10.61189/784716ypyhmm


Received November 28, 2025; Accepted February 27, 2026; Published June 24, 2026


Highlights

● We use two types of cardiac physiological signals together. They complement each other and help improve the final classification accuracy.

● This study converts phonocardiograms and electrocardiograms into time–frequency images, which helps increase the positive detection rate and enables automatic learning of modality-specific features through a neural network.

● This study modifies the baseline model to achieve a more streamlined neural network architecture and incorporates an attention mechanism to better focus on information correlations.

Research Article |Published on: 24 June 2026

[Progress in Medical Devices] 2026; 4 (2): 124-134

DOI: https://doi.org/10.61189/784716ypyhmm
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Research progress on energy-based tissue fusion technologies and related medical devices

Junjie Shen, Zhongxin Hu, Chengli Song, Lin Mao


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/10.61189/748101ldqptn


Received January 24, 2026; Accepted March 25, 2026; Published June 24, 2026


Highlights

● Mechanistic comparison of radiofrequency, ultrasonic, and laser energy modalities for achieving collagen denaturation in tissue fusion.

● Critical evaluation of three leading device platforms (LigaSureTM, HarmonicTM, and ThunderbeatTM) across surgical specialties and performance metrics.

● Future integration of artificial intelligence and robotic systems to enhance precision and safety in energy-based surgical devices.

Review Article |Published on: 24 June 2026

[Progress in Medical Devices] 2026; 4 (2): 135-147

DOI: https://doi.org/10.61189/748101ldqptn
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A multi-frequency power amplifier for detecting tiny metal in the human body

Yuming Liu, Piding Li


School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.


Address correspondence to: Piding Li, School of Health Science and Engineering, University of Shanghai for Science and Technology, No. 516 Jungong Road, Yangpu District, Shanghai 200093, China. E-mail: lpdbyusst@163.com.


DOI: https://doi.org/10.61189/744920nwaoek


Received March 11, 2026; Accepted April 20, 2026; Published June 25, 2026


Highlights

● A multi-frequency electromagnetic excitation scheme is proposed for the detection and localization of tiny metallic foreign bodies inside the human body.

● By integrating SHE-PWM with a full-bridge Class-D power amplifier, the transmitter achieves energy-efficient, spectrally controllable, and synchronous multi-frequency excitation.


Research Article |Published on: 25 June 2026

[Progress in Medical Devices] 2026; 4 (2): 148-164

DOI: https://doi.org/10.61189/744920nwaoek
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Deep learning for prostate intervention: Recent advances in non-rigid magnetic resonance imaging–transrectal ultrasound image registration

Peiyu Chen, Xudong Guo


School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, 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. E-mail: guoxd@usst.edu.cn.


DOI: https://doi.org/10.61189/692164snwggk


Received December 29, 2025; Accepted March 6, 2026; Published June 26, 2026


Highlights

● This review systematically reviews the evolution of deep learning-based non-rigid prostate magnetic resonance imaging–transrectal ultrasound registration.

● This review analyzes dominant paradigms: hybrid convolutional neural networks, generative adversarial networks/diffusion models, and transformers.

● This review explores integrating anatomical priors and physical constraints to address label scarcity.

● This review critically evaluates the generalization gap between state-of-the-art benchmarks and clinical workflows.

● This review proposes future directions in physics-aware artificial intelligence and intelligent robotic interventions.

Review Article |Published on: 26 June 2026

[Progress in Medical Devices] 2026; 4 (2): 165-177

DOI: https://doi.org/10.61189/692164snwggk
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Issue 1
Development of an automated cytological smear staining device for rapid on-site evaluation

Guangyan Wang1, Kai Yang1, Chunhua Zhou2, Duowu Zou2, Shiju Yan1


1School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. 

2Department of Gastroenterology, Ruijin Hospital, Shanghai 200025, China.


Address correspondence to: Shiju Yan, School of Health Science and Engineering, University of Shanghai for Science and Technology, No. 516 Jungong Road, Yangpu, Shanghai 200093, China. E-mail: yanshiju@usst.edu.cn.


DOI: https://doi.org/10.61189/599339cpncph


Received January 20, 2025; Accepted April 16, 2025; Published March 24, 2026


Highlights

● The developed device reduces manpower and time consumption, improving staining efficiency in digestive endoscopy centers. 

● It has a compact design with minimal contamination to the operating environment.  

● The developed device demonstrates excellent staining performance and has been recognized by clinicians.

Research Article |Published on: 24 March 2026

[Progress in Medical Devices] 2026; 4 (1): 1-9

DOI: https://doi.org/10.61189/599339cpncph
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Review of key technologies in ankle rehabilitation robots

Jiajia Zha, Qingyun Meng, Hongtao Shen, Mingxia Wei 


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, No. 516 Jungong Road, Yangpu District, Shanghai 200093, China. Tel: +86-13761813609. E-mail: mengqy@sumhs.edu.cn.


DOI: https://doi.org/10.61189/730741lcujht


Received May 24, 2025; Accepted July 25, 2025; Published March 24, 2026


Highlights 

● As a primary weight-bearing joint, the ankle is highly susceptible to injury, while neurological disorders such as stroke can further impair its motor function, leading to long-term gait disturbances. 

● Rehabilitation robots can be platform-based or wearable: platforms aid early-stage motion restoration, while wearable designs focus on gait retraining. 

● Control systems must prioritize motion accuracy and safety. Adaptive algorithms boost performance, while bioelectric signal integration enables intention recognition. Coupling with virtual or augmented reality further enhances patient engagement.

Review Article |Published on: 24 March 2026

[Progress in Medical Devices] 2026; 4 (1): 10-21

DOI: https://doi.org/10.61189/730741lcujht
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AI-assisted diagnosis of myocardial hypertrophy based on cardiac MRI: A systemic review

Shimin Zhou1, Xudong Guo1,2, Yunli Shen2, Qinfen Jiang2, Xin Gong2, Jie Ding2, Yihong Yang3, Guojie Xu1, Jican Wen1, Jingyang Niu1 


1School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.  

2State Key Laboratory of Cardiovascular Diseases and Medical Innovation Center, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai 200093, China. 

3Department of Nuclear Medicine, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai 200120, 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. E-mail: guoxd@usst.edu.cn.


DOI: https://doi.org/10.61189/569607adnpiw


Received October 25, 2025; Accepted February 12, 2026; Published March 31, 2026


Highlights 

● This review systematically summarizes the research progress of artificial intelligence technologies in the diagnosis of cardiac hypertrophy based on cardiac MRI, with a focus on AI diagnostic methods utilizing Cine-MRI, T1/T2 Mapping, late gadolinium enhancement (LGE), and multi-sequence fusion strategies. 

● This review highlights the application potential and current limitations of natural language processing-based automated MRI report parsing technology for large-scale case screening and phenotypic stratification. 

● This review analyzes existing challenges in AI diagnosis, including data quality, annotation consistency, and model generalization, and discusses future directions such as multicenter collaboration, multimodal data fusion, and clinical translation.

Review Article |Published on: 31 March 2026

[Progress in Medical Devices] 2026; 4 (1): 55-65

DOI: https://doi.org/10.61189/569607adnpiw
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Slim exquisite easy-exposing video laryngoscope: A novel video laryngoscope
Chenglong Zhu, Zui Zou


School of Anesthesiology, Naval Medical University, Shanghai 200433, China.


Address correspondence to: Zui Zou, School of Anesthesiology, Naval Medical University, 800 Xiangyin Road, Yangpu District, Shanghai 200433, China. E-mail: zouzui@smmu.edu.cn.


DOI: https://doi.org/10.61189/551629zyhfiv


Received February 16, 2026; Accepted March 16, 2026; Published March 31, 2026


With the evolution of traditional direct laryngoscopes into video-assisted laryngoscopes, the viewing angle provided by video laryngoscopes has been substantially enlarged, enabling more intuitive and clearer visualization of pharyngeal structures and the glottis. However, the design of video laryngoscopes generally retains the relatively bulky blade carrier of traditional direct laryngoscopes. During routine use, this design may still limit the field of view, necessitating significant jaw elevation to obtain a clear view [1, 2]. To address this limitation, our team developed a slim exquisite easy-exposing video laryngoscope (SEE-VL), a slender and refined device designed to facilitate easier glottic visualization (Registration Certificate No.: Su Xie Zhun 20252082044).


The most significant difference between SEE-VL and traditional video laryngoscopes (e.g., UESCOPE® video laryngoscope) lies in the optimized cross-sectional design of blade carrier. While ensuring adequate exposure of the laryngeal structures, SEE-VL minimizes additional trauma to the oral cavity and larynx, providing more intraoral space for establishing an artificial airway. Additionally, SEE-VL is equipped with a high-resolution display, enabling clearer visualization of the laryngeal structures and glottis (Figure 1)


Beyond routine airway establishment, the slim blade design of SEE-VL is particularly suitable for patients with anticipated difficult airways, including those with limited mouth opening, restricted head and neck mobility, or missing teeth-conditions commonly observed in patients with maxillofacial trauma, temporomandibular joint disorders, cervical spine surgery, or obesity). This novel SEE-LV may broaden the clinical applicability of video laryngoscopy in challenging airway scenarios.

Letter to the Editor |Published on: 31 March 2026

[Progress in Medical Devices] 2026; 4 (1): 66-67

DOI: https://doi.org/10.61189/551629zyhfiv
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