In recent years, along with more importance having been given by health care facilities and health administrative departments nationally, the work force of infection prevention and control is constantly increasing. In the new era, to help infection prevention and control practitioners and all health care workers make the right direction in infection prevention and control professional business and make sure the infection prevention and control measures are implemented, what we need is to define the target of infection prevention and control scientifically, identify obligation subjects, and improve the infection prevention and control system and working mechanism from the top-level.
ObjectiveTo systematically summarize recent advancements in the application of artificial intelligence (AI) in key components of radiotherapy (RT), explore the integration of technical innovations with clinical practice, and identify current limitations in real-world implementation. MethodsA comprehensive analysis of representative studies from recent years was conducted, focusing on the technical implementation and clinical effectiveness of AI in image reconstruction, automatic delineation of target volumes and organs at risk, intelligent treatment planning, and prediction of RT-related toxicities. Particular attention was given to deep learning models, multimodal data integration, and their roles in enhancing decision-making processes. ResultsAI-based low-dose image enhancement techniques had significantly improved image quality. Automated segmentation methods had increased the efficiency and consistency of contouring. Both knowledge-driven and data-driven planning systems had addressed the limitations of traditional experience-dependent approaches, contributing to higher quality and reproducibility in treatment plans. Additionally, toxicity prediction models that incorporated multimodal data enabled more accurate, personalized risk assessment, supporting safer and more effective individualized RT. ConclusionsRT is a fundamental modality in cancer treatment. However, achieving precise tumor ablation while minimizing damage to surrounding healthy tissues remains a significant challenge. AI has demonstrated considerable value across multiple technical stages of RT, enhancing precision, efficiency, and personalization. Nevertheless, challenges such as limited model generalizability, lack of data standardization, and insufficient clinical validation persist. Future work should emphasize the alignment of algorithmic development with clinical demands to facilitate the standardized, reliable, and practical application of AI in RT.
Objective To investigate the closing method of wound after removalof the traditional pedicled abdominal flap. Methods Accordingto the design,the pedicled abdominal flaps were cut and lifted, and then the incision were extended from both sides on base of the flap to anterior superior iliac spine, respectively. After separating on superficial fascia, two flaps were obtained. The wound of donor site was closed completely by these two pedicled flaps. Twelvepatients with skin defects on hands or forearms were treated using the reformedmethod of traditional pedicled abdominal flap. Results All of the 12 reformed pedicled abdominal flaps survived, and only one had local necrosis on the distalpart of the abdominal flap, about 1.5 cm ×2.0 cm. Conclusion This new designcould provide a good method to close the abdominal wound after removal of pedicled abdominal flap.
For the transportation process of rescuing wounded personnel on naval vessels, a new type of shoulder type exoskeleton stretcher for individual soldier was designed in this paper. The three-dimensional model of the shoulder type exoskeleton stretcher for individual soldier was constructed using three dimensional modeling software. Finite element analysis technique was employed to conduct statics simulation, modal analysis, and transient dynamics analysis on the designed exoskeleton stretcher. The results show that the maximum stress of the exoskeleton stretcher for walking on flat ground is 265.55 MPa, which is lower than the allowable strength of the fabrication material. Furthermore, the overall deformation of the structure is small. Modal analysis reveals that the natural frequency range of the exoskeleton stretcher under different gait conditions is 1.96 Hz to 28.70 Hz, which differs significantly from the swing frequency of 1 Hz during walking. This indicates that the designed structure can effectively avoid resonance. The transient dynamics analysis results show that the maximum deformation and stress of exoskeleton stretcher remain within the safety range, which meets the expected performance requirements. In summary, the shoulder type exoskeleton stretcher for individual soldier designed in this study can solve the problem of requiring more than 2 people to carry for the existing stretcher, especially suitable for narrow spaces of naval vessels. The research results of this paper can provide a new solution for the rescue of wounded personnel on naval vessels.
The active comparator, new user (ACNU) design is an important design developed under the concept of the target simulation experimental framework. It aims to reduce indication confounding, immortal time bias, prevalence-incidence bias, and other unmeasured confounders by simulating head-to-head randomized controlled trials. It is widely applied in scenarios such as comparing the efficacy of newly marketed drugs with existing standard treatments, evaluating drug safety and adherence, exploring drug repurposing, and optimizing algorithms for processing medical big data. This article introduces the application and practice of the ACNU design in real-world data research from aspects such as concept, development, advantages and disadvantages, and implementation points, and also presents an outlook on its application in the field of traditional Chinese medicine. It is believed that with the progress in understanding the design of observational studies of real-world data, the ACNU design is expected to be more widely applied and provide new ideas for researchers' scientific research designs.
ObjectiveTo investigate the current situation of domestic registry studies, and to provide basis for future research.MethodsWorld Health Organization (WHO) registration platform, ClinicalTrials.gov registration platform and other registration platforms were searched to collect the registered registration studies in Mainland China from inception to July 31st, 2018. Two researchers collected and collated data, analyzed by descriptive statistical methods, and then python-igraph package in Python 3.5 was used to draw the network diagram.ResultsA total of 247 studies were retrieved, mainly for disease registry and pharmaceutical product registry. Cohort and case-series were the principally study design. The research focused on chronic diseases such as cardiovascular and cerebrovascular diseases, and research sites were based on the economically developed area, for example, Beijing, Shanghai and Guangdong. The network diagram of study design and disease system shows that cohort research design is widely used in the nervous system and circulatory system; the network diagram of the research sites and disease system found that Beijing mainly studied circulatory and nervous system diseases, Shanghai mainly studied circulatory system diseases, and Guangdong relatively studied more on nervous system and urinary system diseases.ConclusionThe increasing number of registry studies in China reflects the importance of long-term outcome assessment of diseases.
In order to promote the effective development of hospital day surgery mode, a construction method of information management platform that meets the characteristics of day surgery mode is presented. By analyzing the business process of the day surgery mode, the system architecture of the information platform is given; according to the difficulty of the surgical scheduling, the two-stage surgical scheduling algorithm based on the ranking theory is given; by analyzing the day surgery data statistically, a multi-angle surgical index analysis module is provided. The information management of the day surgery mode has been realized, and the work efficiency has been improved. A reasonable day surgery information platform construction can help to optimize the daytime surgical procedure and promote the smooth development of day surgery.
On the basis of fundamental ethical principles and requirements, combining the practice of ethical management and according to the characteristics and requirements of the prospective cohort study of natural populations, this paper probes into the many key points of ethical design, including the use of existing data, the choice of exposures, the protection of special population subjects and the renewal of informed consent, and the selection of prospective cohort study of natural populations, to provide the beneficial reference to maximize the guarantee of the safety and rights and interests of the subjects.