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
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
Yu Liu, Gengqiang Shi
School of Health Sciences and Engineering, University of Shanghai for Science and Technology, Shanghai 200082, China.
Address correspondence to: Gengqiang Shi, School of Health Sciences and Engineering, University of Shanghai for Science and Technology, No. 334, Jungong Road, Yangpu District, Shanghai 200082, China. E-mail: gengersgq@163.com.
DOI: https://doi.org/10.61189/091501wgyqdc
Received October 24, 2025; Accepted January 8, 2026; Published March 24, 2026
Research Article |Published on: 24 March 2026
[Progress in Medical Devices] 2026; 4 (1): 22-31
Shoucheng Chen, Rongguo Yan, Ke Wang, Wenjing Du
School of Biomedical 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. 334, Jungong Road, Shanghai 200093, China. E-mail: yanrongguo@usst.edu.cn.
DOI: https://doi.org/10.61189/371147mjbess
Received October 25, 2025; Accepted December 4, 2025; Published March 24, 2026
Research Article |Published on: 24 March 2026
[Progress in Medical Devices] 2026; 4 (1): 32-44
Xinying Shi1, Yuan Yao2, Haipo Cui1
1Shanghai Institute for Minimally Invasive Therapy, University of Shanghai for Science and Technology, Shanghai 200093, China.
2Shanghai Songyu Medical Devices Co., Ltd., Shanghai 200050, China.
Address correspondence to: Haipo Cui, Shanghai Institute for Minimally Invasive Therapy, University of Shanghai for Science and Technology, No. 516 Jungong Road, Yangpu District, Shanghai 200093, China. E-mail: h_b_cui@163.com.
DOI: https://doi.org/10.61189/368729kpldnv
Received May 13, 2025; Accepted November 21, 2025; Published March 31, 2026
Review Article |Published on: 31 March 2026
[Progress in Medical Devices] 2026; 4 (1): 45-54
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
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
Lin Jiang, Piding Li
Department of Health Sciences and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Address correspondence to: Piding Li, Department of Health Sciences and Engineering, University of Shanghai for Science and Technology, No. 334 Jungong Road, Yangpu District, Shanghai 200093, China. E-mail: lipiding_usst@qq.com.
DOI: https://doi.org/10.61189/447159fjktza
Received November 12, 2025; Accepted January 27, 2026; Published March 31, 2026
Research Article |Published on: 31 March 2026
[Progress in Medical Devices] 2026; 4 (1): 68-76.