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 prepare cationic Vancomycin hydrochloride multivesicular liposome (MVL) and to inspect its quality. Methods Cationic Vancomycin hydrochloride MVLs were prepared by double emulsion method, and the storing solution of Vancomycin was prepared. The analysis method of Vancomycin in vitro was established; the specificity, precision, and resorption rate were estimated. Reverse phase high performance liquid chromatography (RP-HPLC) was used to determine the concentration of Vancomycin, encapsulation efficiency, and release characteristics in vitro. The formulation and pharmaceutical process were optimized by single factor experiments and orthogonal experimental design with the factor of encapsulation efficiency as the criteria. The liposome morphology was observed by optical microscopy and transmission electron microscopy. The particle size and Zeta potential were determined by Malvern instrument. The stability was analyzed by dynamic analysis. Results An RP-HPLC method was established for the assay of Vancomycin. The analysis method was precise, simple, and reliable for the quality control of Vancomycin. Vancomycin hydrochloride MVLs were round and well-distributed. The average particle size and the encapsulation efficiency were 3.3 μm and 24.9%, respectively. Zeta potential was 24.53 mV, and 90.5% of Vancomycin hydrochloride was released after 264 hours in normal saline under 37℃. Cationic Vancomycin MVLs were stored for 1 month at 4 ℃, which mantained good stability. Conclusion Cationic Vancomycin hydrochloride MVLs have good appearance, high encapsulation efficiency, good stability, and significant sustained release properties.
Cranial defects may result from clinical brain tumor surgery or accidental trauma. The defect skulls require hand-designed skull implants to repair. The edge of the skull implant needs to be accurately matched to the boundary of the skull wound with various defects. For the manual design of cranial implants, it is time-consuming and technically demanding, and the accuracy is low. Therefore, an informer residual attention U-Net (IRA-Unet) for the automatic design of three-dimensional (3D) skull implants was proposed in this paper. Informer was applied from the field of natural language processing to the field of computer vision for attention extraction. Informer attention can extract attention and make the model focus more on the location of the skull defect. Informer attention can also reduce the computation and parameter count from N2 to log(N). Furthermore,the informer residual attention is constructed. The informer attention and the residual are combined and placed in the position of the model close to the output layer. Thus, the model can select and synthesize the global receptive field and local information to improve the model accuracy and speed up the model convergence. In this paper, the open data set of the AutoImplant 2020 was used for training and testing, and the effects of direct and indirect acquisition of skull implants on the results were compared and analyzed in the experimental part. The experimental results show that the performance of the model is robust on the test set of 110 cases fromAutoImplant 2020. The Dice coefficient and Hausdorff distance are 0.940 4 and 3.686 6, respectively. The proposed model reduces the resources required to run the model while maintaining the accuracy of the cranial implant shape, and effectively assists the surgeon in automating the design of efficient cranial repair, thereby improving the quality of the patient’s postoperative recovery.
Master protocol with adaptive design is a new complex innovative trial design that combines an adaptive treatment strategy and master protocol. It is more flexible and adjustable. In the complex clinical trial environment, the dynamics emphasized in this design are consistent with the idea of traditional Chinese medicine (TCM) syndrome differentiation and treatment. In this study, we summarized its concept, characteristics and advantages, and we also discussed its application in TCM clinical research. We hope this paper can provide more thinking and suggestions for TCM clinical trials.
Objective To summarize and analyze the research progress of scaffold materials used in tissue engineered meniscus. Methods The classification and bionics design of scaffold materials were summarized by consulting domestic and foreign literature related to the research of tissue engineered meniscus in recent years. Results Tissue engineered meniscus scaffolds can be roughly classified into synthetic polymers, hydrogels, extracellular matrix components, and tissue derived materials. These different materials have different characteristics, so the use of a single material has its unique disadvantages, and the use of a variety of materials composite scaffolds can learn from each other, which is a hot research area at present. In addition to material selection, material processing methods are also the focus of research. At the same time, according to the morphological structure and mechanical characteristics of the meniscus, the bionic design of tissue engineered meniscus scaffolds has great potential. Conclusion At present, there are many kinds of scaffold materials for tissue engineered meniscus. However, there is no material that can completely simulate the natural meniscus, and further research of scaffold materials is still needed.
Objective To evaluate the quality of clinical studies on dentistry from the Chinese Journals. Methods Clinical studies in Chinese Journal of Conservative Dentistry of 2002 were searched. The quality of the clinical studies on assessment of treatments’ efficacy was evaluated. Results Among 204 related studies from 12 issues, there were 93 (45.58%) restrospective intervention studies, 6 randomized controlled blinded trials (2.94%), 42 randomized trials without blindness (20.58%), 20 controlled trials without randomization (9.80%) and 25 clinical observational studies (12.25%). The statistical analysis showed that 20 studies were with inappropriate methods. Conclusions It is necessary to improve the design and statistical analysis of clinical studies on stomatology in China to produce high-quality research evidence.
Effectiveness-implementation hybrid designs can test the effectiveness of interventions and the outcomes of implementation strategies concurrently and accelerate the transformation of research results into routine practice. This paper introduced three types of effectiveness-implementation hybrid designs and corresponding reporting guidelines, including standards for reporting implementation studies, cluster randomized design and CONSORT 2010, stepped-wedge cluster randomized design and extended version CONSORT 2018, qualitative research and COREQ reporting guideline, and provide references for domestic researchers to produce research reports on effectiveness-implementation hybrid design.
For the researches relating to the biomedical fields such as preparation of drug micro-particulates and biomedical materials coating, according to the modular design concept and combing the piezoelectric micro-jetting technology with electromechanical engineering and automatic control technology, the drug micro-jetting multifunctional system was designed, which included the spraying support subsystem, X-Y motion platform, Z-axis subsystem and rapid installation subsystem. The drug micro-jetting multifunctional system was run and adjusted. The versatility, rationality and feasibility of this system were validated by the experiments of amoxicillin microcapsule preparation, titanium alloy drug-loaded coating preparation and balloon electrode coating preparation. It was shown that the system can be used as basic platform in multi-disciplinary cross technology research such as biomedical engineering, pharmaceutical engineering and so on.
ObjectiveTo explore the standardized index system of quality control for single disease of day surgery in Shanghai municipal hospitals.MethodsFrom April to November 2020, through literature research and comprehensive analysis of research results, the framework of quality control index system for single disease of day surgery focusing on obstructive sleep apnea hypopnea syndrome surgery and laparoscopic cholecystectomy was constructed; Delphi method was used to evaluate the quality of day surgery in terms of results, objectivity, statistics, sensitivity, accessibility, quantifiability, importance, and guidance. Finally, the final indicators were screened out.ResultsAfter three rounds of Delphi investigation, 18 experts finally formed 14 general indexes and 14 personalized indexes (6 for obstructive sleep apnea hypopnea syndrome and 8 for laparoscopic cholecystectomy) in the single disease of day surgery quality control index system.ConclusionsThe general indexes and personalized indexes quantifying the quality control index for single disease of day surgery are conducive to the standardization and standardized management of day surgery, and can provide a reference for improving the medical quality and safety, and sustainable development of day surgery.
Objective The core indicator pool of ischemic stroke (IS) was constructed to provide a basis for the establishment of the core outcome set (COS), so as to improve the consistency of clinical research and evaluation results of traditional Chinese medicine (TCM) treatment for IS. Methods In this study, the mixed methods research (MMR) convergent parallel design was used to carry out qualitative research and quantitative research at the same time, and the two research results were integrated to reach a conclusion. Quantitative research comprehensively collected the multi-source efficacy evaluation indicators of TCM treatment of IS, and carried out descriptive statistical analysis based on frequency theory. Semi-structured interviews were used in the qualitative research, relevant interest groups were selected to understand the evaluation indicators of the IS efficacy of TCM treatment that they were concerned about, and NVivo software was used for in-depth analysis, coding, classification, and extraction of the efficacy indicators. Based on the principle of pillar integration, quantitative and qualitative research results were integrated to construct an element pool of evaluation indicators for the treatment of IS with traditional Chinese medicine. Results A total of 437 standard papers, 71 registered trial protocols, 100 real-world medical data cases and several guideline consensus policy documents were included in the quantitative study, and a total of 314 indicators in the acute phase of IS, 154 indicators in the recovery phase, and 104 indicators in the sequelae phase were extracted. In the qualitative research part, a total of 32 indicators in the acute stage of IS, 34 indicators in the recovery stage and 35 indicators in the sequelae stage were extracted through interviews. Through group discussion and the principle of pillar integration, an element pool of IS indicators was formed, including 279 IS indicators in the acute stage, 142 indicators in the recovery stage and 91 indicators in the sequelae stage. Conclusion Based on the MMR convergent parallel design, the element pool of the characteristic indicators of the therapeutic effect of IS in TCM is constructed to meet the needs, which provides the preliminary work basis for the construction of the core outcome set of IS in the next stage.