中国医疗器械杂志最新文献

Medical equipment management plays a crucial role in enhancing the quality and efficiency of healthcare services. However, traditional management approaches are increasingly inadequate to meet the growing demands of modern healthcare. As intelligent operation and maintenance (O&M) models based on big data, the Internet of Things (IoT), and artificial intelligence (AI) technologies develop, it is imperative to explore their application in medical equipment management. This paper reviews the technical overview of intelligent O&M and discusses the algorithms and challenges of intelligent O&M models based on different technologies. It also proposes issues that need improvement in intelligent O&M models, aiming to provide valuable references for the future development of medical equipment management.

This study evaluated the healing-promoting effect and applicability of seven new dressings in chronic wounds. A chronic wound model was established using 48 db/db diabetic mice, which were randomly divided into 8 groups (control, polymer film, alginate, foam, hydrocolloid, hydrogel, carbon fiber, and silver dressing groups). Regular monitoring was conducted on the 5, 10, 15, and 20 days after surgery, and a comprehensive evaluation was performed based on healing rate, characteristic of histopathology, and semi-quantitative scoring. The results showed that, except for the polymer film dressing group, all other dressing groups had significantly better healing-promoting effect than the control group ( P＜0.05), with the hydrocolloid, carbon fiber, and silver dressing groups demonstrated particularly outstanding efficacy. This study systematically compared the efficacy differences of seven dressings, and combined them with the adhesion, exudate volume and infection risks to provide a scientific basis for clinical dressing selection.

After the production of the gradient coil of the magnetic resonance imaging system, electromagnetic field testing is required to verify whether the assembly accuracy meets the electromagnetic field requirements. Since the passive magnetic field B _z satisfies the Laplace ^,s equation and is a harmonic function, and according to the extreme value principle of harmonic function, the maximum or minimum values of B _z can only appear on the boundaries, so the observation points of the magnetic field are generally selected on the surface of the spherical imaging area. For superconducting magnets used for human body magnetic resonance imaging, a spherical area with a center diameter of 40~50 cm is generally selected as the shimming target area. Only the field value of the target area needs to be measured, and the spherical harmonic coefficients obtained after data processing are used to determine the magnetic field performance of the gradient coil. There are many testing principles and methods for electromagnetic fields, so there is no unified way and method in the field of commercial applications. This article is based on the Gauss-Legendre numerical integration, measures and analyzes the magnetic field performance of gradient coils by building a data acquisition system, and this article applies numerical analysis methods to calculate the spherical harmonic coefficients of the magnetic field using discrete test data, providing a feasible method for the production and testing of gradient coils.

From the perspective of performance evaluation, this paper describes briefly the concerns of study on each component module and the entire instrument, clinical items, software, and product testing on droplet digital PCR instruments, including the study methods and quality control requirements. The increase of the research and development efficiency of products and contribute to the promotion of application of digital PCR instruments in clinical laboratories are expected.

The rapid development of nanomaterials has brought groundbreaking opportunities for high-quality innovation in medical devices, but it has also become a new challenge for regulatory authorities. How to scientifically and rationally evaluate the risks of medical device products with nanomaterials and establish appropriate regulatory classifications have become critical research priorities. To solve this problem, this study focuses on medical devices with nanomaterials, conducts a comparative analysis of domestic and international regulatory classification policies, reviews the current registration status of related products, and provides recommendations on key considerations for the classification and regulation of medical devices with nanomaterials, which aims at promoting high-quality advancement in China's medical device regulation.

Computer-assisted methods for pathological image analysis can improve doctor's efficiency of image reading and diagnostic accuracy, effectively addressing the shortage of pathology diagnostic manpower. With the rapid development of artificial intelligence and digital pathology, deep learning technology has spurred a wealth of research in the field of histopathology. This article reviews the various applications of deep learning in digital pathological image analysis, such as pathological image segmentation, cancer auxiliary diagnosis, and cancer prognosis prediction, and discusses the challenges and solutions in its application. Furthermore, it predicts future trends in deep learning for pathological image analysis and proposes potential research directions.

Objective: To utilize Spinal Cord Toolbox (SCT) to measure the morphological parameters of healthy cervical spinal cords and explore the impact of gender, age and vertebral levels on them.

Methods: A retrospective study was conducted, collecting cervical spinal cord magnetic resonance images of 184 healthy adults. Then, cross-sectional area (CSA), eccentricity, antero-posterior diameter (AP) and right-left diameter (RL) were each computed for every subject. Then, impacts of gender, age and vertebral level on CSA and eccentricity were explored. Moreover, linear correlation analysis was conducted among CSA, AP and RL.

Results: The CSA of the cervical spinal cord in males was significantly larger than that in females at C2~C7 segments (P＜0.05) . For C2~C6 segments, there was no statistically significant difference in CSA between the young and middle-aged groups, but both were significantly larger than that of the elderly group. CSA of C4 was the largest whereas CSA of C7 was the smallest. Eccentricity values of C4 and C5 were significantly larger than those of other vertebral levels (P＜0.05). Linear correlation was established between CSA, AP and RL at C2~C7 segments.

Conclusion: The results allow for minimizing inter-subject variability using normalization, and thereby highlighting the importance of morphological parameters as biomarkers in the research of cervical spinal lesions.

The structural characteristics and clinical application of embolic microspheres were summarized in this paper. According to evaluation experience and current regulatory registration evaluation requirements, registration evaluation concerns on embolic microsphere as medical device were analyzed from four aspects: administration attributes, product description, non-clinical studies and clinical evaluation, in order to provide references for the development and registration application of such products and improve the efficiency of registration application.

This study aims to evaluate the application of flower petal-structured electrodes in pulsed field ablation (PFA) technology, with a particular focus on their performance in myocardial tissue ablation. Through a combination of simulation techniques and in vitro experiments, the study investigates the effects of different voltage levels, electrode-to-tissue contact distances, and their impact on ablation depth, continuity, and transmurality. The research methods include the construction of a myocardial tissue simulation model, electric field distribution simulation using COMSOL Multiphysics, and in vitro ablation experiments on potato tissue. The results indicate that as voltage increases, the ablation depth significantly increases. At a voltage of 2500 V, a transmural ablation depth of 4 mm can be achieved, and the ablation area remains relatively continuous. The in vitro experiments confirm the consistency of the simulation results, and pulsed field ablation does not induce significant temperature rise, confirming its non-thermal characteristic. The conclusion suggests that PFA technology requires less electrode contact and offers higher ablation efficiency, providing a new technological pathway for the clinical treatment of atrial fibrillation and effectively reducing the risk of complications associated with traditional ablation techniques.

Point-of-care testing (POCT), as an emerging diagnostic technology, is gradually becoming an important part of the clinical diagnostic field due to its advantages, such as ease of operation, rapid response, and portability. This paper primarily introduces two mainstream technologies in POCT: lateral flow assays and nucleic acid amplification. It covers the basic principles, applications, and quality control points in design and development of the two mainstream technologies, aiming to provide a technical reference for device manufacturers, researchers, and regulatory agencies.