Objective To evaluate the effect of the local del ivery of basic fibroblast growth factor 2 (bFGF-2) on the osseointegration around titanium implant of diabetic rats. Methods The bFGF-2-loaded poly (lactic-co-glycol ic acid) microspheres were prepared by water/oil/water (W/O/W) double-emulsion solvent evaporation method. Thirty-five male SPF level Sprague Dawley rats, weighing 220-250 g and aged 9 weeks, were selected as experimental animals. Ten rats were fedwith the routine diet as normal control group. The other 25 rats were made the diabetic animal model by giving high fat-sugar diet and a low dose streptozotocin (30 mg/ kg) intravenously; 20 rats were made the diabetic animal model successfully. Then 20 rats were randomly divided into diabetic control group (n=10) and bFGF-2 intervention group (n=10). A hole was drilled in the right tibia bone of all rats, and the titanium implant treated by micro-arc oxidation surface was planted into the hole. Simultaneously, the previously prepared microspheres and blood were mixed and were loaded on the surface of the implant before it was implanted into the rats of the bFGF-2 intervention group. At 4 and 8 weeks, the tibia containing implants was harvested, embedded with resin and made undecalcified tissue sl ices to compare the osseointegration. Results At 4 weeks, the implants of the normal control group were surrounded by new lamellar bone with continuity; whereas the tissue around the implants of the diabetic control group contained l ittle woven bone and some fibrous tissue; and obvious new formed bone with continuity was observed in bFGF-2 intervention group. At 8 weeks, the results of 3 groups were similar to those at 4 weeks. At 4 weeks, the percentage of bone-implant contact (BIC) in diabetic control group was significantly less than those in normal control group (P lt; 0.05) and in bFGF-2 intervention group (P lt; 0.05); the BIC in bFGF-2 intervention group was less than in normal control group, but showing no significant difference (P gt; 0.05). After 8 weeks, the BIC in normal control group and in bFGF-2 intervention group were significantly greater than that in diabetic control group (P lt; 0.05), but there was no significant difference between bFGF-2 intervention group and normal control group (P gt; 0.05). Conclusion Local del ivery of bFGF-2 around titanium implants may improve the osseointegration in diabetic rats.
Medical information exchange and integration is the effective method to solve the interoperability and medical information island, and is the basis of medical information sharing. In this paper, we take medical texts and medical images as the basic integrated objects, DICOM, HL7 messages and datasets as the integrated units, efficient DICOM, HL7 message construction and parsing methods as basis, design and realize a universal medical information integration and exchange service middleware. Experimental results show that the prototype system could perform medical information integration and exchange among relational database, HL7 and DICOM message, provide a feasible scheme to solve the medical information island and lay a good foundation for establishing the unified medical information integration and sharing platform. The middleware has been applied in the project named "development and demonstration of opened medical information integration system".
Integration of heterogeneous systems is the key to hospital information construction due to complexity of the healthcare environment. Currently, during the process of healthcare information system integration, people participating in integration project usually communicate by free-format document, which impairs the efficiency and adaptability of integration. A method utilizing business process model and notation (BPMN) to model integration requirement and automatically transforming it to executable integration configuration was proposed in this paper. Based on the method, a tool was developed to model integration requirement and transform it to integration configuration. In addition, an integration case in radiology scenario was used to verify the method.
This review article summarizes the current modification methods employed to enhance the osseointegration properties of polyetheretherketone (PEEK), a novel biomaterial. Our analysis highlights that strategies such as surface treatment, surface modification, and the incorporation of bioactive composites can markedly improve the bioactivity of PEEK surfaces, thus facilitating their effective integration with bone tissue. However, to ensure widespread application of PEEK in the medical field, particularly in oral implantology, additional experiments and long-term clinical evaluations are required. Looking ahead, future research should concentrate on developing innovative modification techniques and assessment methodologies to further optimize the performance of PEEK implant materials. The ultimate goal is to provide the clinical setting with even more reliable solutions.
ObjectiveTo analyze the status of scientific papers published by clinical medicine postgraduates during the "double-track integration" training period. MethodsData of publications of 634 clinical medicine postgraduate students who were been trained in the "double-track integration" system in West China School of Medicine, Sichuan University from 2015 to 2017 were collected. The data of the papers published during the concurrent training and residency were retrospectively analyzed. Results634 postgraduates with master degree in clinical medicine published 1 038 papers in total. Students from 3 grades published 1.606, 1.554 and 1.785 papers on average respectively, and the overall average number of publications was 1.637 per person. The composition ratios of the journal types of articles were: SCI, 37.96%; MEDLINE, 6.55%; Chinese core journals, 55.49%. Statistical differences were found in the types of journals published in the three grades. The composition ratios of article types were: case report, 24.56%; review, 34.01%; original study, 41.43%. There was no statistical difference in the composition of article types in 3 grades. All 634 graduate students met the requirements for thesis publication and succeeded in completing the training. ConclusionsIn the "double-track integration" training system, postgraduates with master degree in clinical medicine can meet the training requirements of publishing relevant articles prior to graduation.
Clinical efficacy evaluation is important for the development of traditional Chinese medicine (TCM). In view of the existing accumulation and current situation of the TCM clinical efficacy evaluation, based on the international perspective, and taking the rational and objective evaluation of TCM clinical efficacy and safety as the foundation, in order to enhance TCM evidence level to support clinical decision-making and promote TCM industry and TCM internationalization development, the State Administration of TCM entrusted China Academy of Chinese Medical Sciences to establish China Center for Evidence Based Traditional Chinese Medicine (CCEBTCM). CCEBTCM is expected to optimize the allocation of evidence-based research resources in TCM field to further integrate advantages of evidence-based TCM research teams, promote consensus on evidence-based TCM standards, share evidence-based TCM data or information and lead cultural exchanges between Chinese and overseas. In this way, the status and influence of TCM in the world will be enhanced so that it can better serve global health.
This comprehensive review systematically explores the multifaceted applications, inherent challenges, and promising future directions of artificial intelligence (AI) within the medical domain. It meticulously examines AI's specific contributions to basic medical research, disease prevention, intelligent diagnosis, treatment, rehabilitation, nursing, and health management. Furthermore, the review delves into AI's innovative practices and pivotal roles in clinical trials, hospital administration, medical education, as well as the realms of medical ethics and policy formulation. Notably, the review identifies several key challenges confronting AI in healthcare, encompassing issues such as inadequate algorithm transparency, data privacy concerns, absent regulatory standards, and incomplete risk assessment frameworks. Looking ahead, the future trajectory of AI in healthcare encompasses enhancing algorithm interpretability, propelling generative AI applications, establishing robust data-sharing mechanisms, refining regulatory policies and standards, nurturing interdisciplinary talent, fostering collaboration among industry, academia, and medical institutions, and advancing inclusive, personalized precision medicine. Emphasizing the synergy between AI and emerging technologies like 5G, big data, and cloud computing, this review anticipates a new era of intelligent collaboration and inclusive sharing in healthcare. Through a multidimensional analysis, it presents a holistic overview of AI's medical applications and development prospects, catering to researchers, practitioners, and policymakers in the healthcare sector. Ultimately, this review aims to catalyze the deep integration and innovative deployment of AI technology in healthcare, thereby driving the sustainable advancement of smart healthcare.
ObjectiveTo briefly describe the specific contents of the “four-dimensional integration” standardized training model for neurology residents and analyze the implementation effects.MethodsSince September 2019, the Standard Training Center for Residents in Department of Neurology, Xuanwu Hospital of Capital Medical University trained residents under “four-dimensional integration” standardized training model, including primary knowledge teaching, basic skill training, clinical thinking training, and student group learning. The effect of the “four-dimensional integration” model was measured by comparing the midterm assessment results after four months of training of the resident trainees in Grade 2019 under the “four-dimensional integration” training mode (n=37) with those of the resident trainees in Grade 2018 under regular training mode (n=32). The midterm assessment was conducted through standardized and objective clinical examinations, including three evaluations (theory, skills, and clinical drills), and the pass rate of tests was evaluated through Fisher’s exact probability method for comparison between training groups.ResultsThere was no significant difference in the pass rate of theoretical assessment (100.0% vs. 96.9%, P=0.464) or the pass rate of Mini-Clinical Evaluation Exercise (100.0% vs. 90.6%, P=0.095) between the two groups. The pass rate of skill assessment in Grade 2019 was significantly higher than that of the students in Grade 2018 (94.6% vs. 71.9%, P=0.018).ConclusionThe “four-dimensional integration” standardized training model for neurology residents and it effect are worthy of recognition, which can provide a reference for medical teaching, especially for the standardized training of resident physicians.
In the context of actively coping with aging, China has introduced a series of health care integration policies. Using the advocacy coalition framework theory, this paper aims to analyze the process of health care integration policy changes in China from three dimensions: policy beliefs, external events and policy learning. The policy subsystem of health care integration in China includes two coalitions: top-down cascade promotion and bottom-up absorption and radiation. External events and policy learning triggered policy change, where policy learning included endogenous learning within the coalition and exogenous learning between the coalitions. A policy impasse occurs when the two advocacy coalitions are at odds, and policy brokers and professional forums can get rid of the policy impasse. In the process of policy change in China’s health care integration, the two major advocacy coalitions have reached a certain consensus. It is recommended to alleviate the problems in the integration of health care by strengthening the external factors in the change of health care policy, enhancing the policy learning in the change of health care policy, and making full use of the information resources in the change of health care policy, so as to promote the high-quality development of the integration of health care.
This paper aims to utilize the intersecting cortical model (ICM), which imitates the biological neural cells sync pulse, to preliminary research about the contour integration mechanism and the selection of attention. The idea of "Excitement-Inhibition" oscillation is introduced into the ICM, and meanwhile, the target contour chain code is used as the high-level feedback to control the input. Thus, we propose the Excitation-Inhibition-ICM which contains both the BUTTON-UP and the TOP-DOWN mechanism. The experimental results showed that the proposed model could effectively suppress noise to make the smooth edge synchronization issue, thus completing the process of BOTTOM-UP. The introduction of the target contour chain code can obtain consistent target outline with the input target chain code, but other targets cannot form a closed contour since they do not match with the input target chain code, so as to realize the TOP-DOWN mechanism. The results proved that our proposed model could imitate the contour integration mechanism and the selection of attention of the visual cortex V1.