In the field of artificial intelligence (AI) medical imaging, data annotation is a key factor in all AI development. In the traditional manual annotation process, there are prominent problems such as difficult data acquisition, high manual labor intensity, strong professionalism and low labeling quality. Therefore, an intelligent multimodal medical image annotation system is urgently needed to meet the requirements of labeling. Based on the image cloud, West China Hospital of Sichuan University collected the multimodal image data of hospital and allied hospitals, and designed a multi-modal image annotation system through information technology, which integrated various image processing algorithms and AI models to simplify the image data annotation. With the construction of annotation system, the efficiency of data labeling in the hospitals is improved, which provides necessary data support for the AI image research and related industry construction in the hospital, so as to promote the implementation of artificial intelligence industry related to medical images in the hospital.
Objective To explore the feasibility and clinical effect of management of children with epilepsy based on WeChat platform. Methods The WeChat platform for management of children epilepsy was designed according to the idea of the management of chronic diseases. The objective and control groups were investigated by the case-control study. Eighty children with epilepsy who took part in the platform were served as the experimental group. At the same time, 80 children with epilepsy who did not take part in the platform were served as the control group. The questionnaire of basic conditions and users’ perceived acceptance and usage of the platform designed by ourselves were used to collect related information. Results Sixty parents of children with epilepsy continuously used the platform and among them 48 parents (80.0%) had high satisfaction degree of the platform. The factors which affected the satisfaction degree of the platform among basic conditions included whether the users were busy, the comprehensive degree of knowledge about epilepsy before they took part in the study and the degree of taking medicine on time(P<0.05).There were no differences in satisfaction degree among different children sex, residence, parents’ sex, education level, approaches and willingness of knowledge acquisition(P>0.05). Follow-up of 60 children with epilepsy who had been in the platform for 6 months showed total effective rate was 96.7%, while the total effective rate of the control group was 81.4%. Conclusions Management of children with epilepsy based on WeChat platform is feasible and well accepted. Not only does it contribute to standard long-term management of children epilepsy and health education, but also it improves the efficiency of clinical treatment. It is a new way of the management of children with epilepsy.
ObjectivesTo analyze the development of acupuncture registered trials based on WHO international clinical trial registration platform (ICTRP) in the past 5 years.MethodsWHO ICTRP database was electronically searched to collect acupuncture-related clinical trials registered from January 1st, 2014 to December 31st, 2018. Two reviewers independently screened items, extracted data, and descriptive analysis was performed for the included trials.ResultsThe results showed that there were 1 556 registered clinical trials on acupuncture, and the most registered year was 2017. China was in the main country in applying for acupuncture-related clinical trials, however, the most registered unit was Kyung Hee University in Korea. The trials were mainly interventional research, mostly used randomized, blinded methods, and design modes were mainly based on parallel trials. In clinical trial phase, the majority were in the clinical trial period of treatment of new technologies. The field of clinical research was expected to be on pain in the future.ConclusionsAlthough acupuncture research is currently in a good stage of development, it should still value on the quality and innovative training of relevant trials, strengthen Chinese ties with other countries, focus on regional, domestic and international cooperation, expand research types, and enhance acupuncture applicability.
ObjectiveExplore the impact of a digital-intelligence-based quality control platform for thyroid cancer on the effectiveness of clinical diagnosis and treatment quality management. MethodsThe digital-intelligence-based quality control platform for thyroid cancer at Zhejiang Provincial People’s Hospital was launched at the end of July 2022. In its initial phase, six quality control indicators related to the standardized diagnosis and treatment of thyroid cancer were deployed. This study analyzed the changes in these six quality control indicators between January 2022 and November 2023, comparing data before and after the platform’s implementation. ResultsCompared with the period from January to July 2022 (prior to the platform’s launch), the rates of preoperative cytopathological examination (t=–8.490, P<0.001) and postoperative pTNM staging for thyroid cancer patients (t=–3.027, P=0.013) increased from July to November 2023 (one year post-launch). However, the proportion of minimally invasive surgeries among thyroid cancer patients (t=4.085, P=0.002) decreased. The linear regression model results indicated that, following the platform’s launch, there was a gradual increase over time in both the preoperative cytopathological examination rate for thyroid cancer (P=0.001) and the postoperative pTNM staging rate (P=0.049). ConclusionPreliminary results of this study suggest that the thyroid cancer digital-intelligence-based quality control platform developed by our team can effectively enhance the standardized quality control of clinical diagnosis and treatment for thyroid cancer.
The human skeletal muscle drives skeletal movement through contraction. Embedding its functional information into the human morphological framework and constructing a digital twin of skeletal muscle for simulating physical and physiological functions of skeletal muscle are of great significance for the study of "virtual physiological humans". Based on relevant literature both domestically and internationally, this paper firstly summarizes the technical framework for constructing skeletal muscle digital twins, and then provides a review from five aspects including skeletal muscle digital twins modeling technology, skeletal muscle data collection technology, simulation analysis technology, simulation platform and human medical image database. On this basis, it is pointed out that further research is needed in areas such as skeletal muscle model generalization, accuracy improvement, and model coupling. The methods and means of constructing skeletal muscle digital twins summarized in the paper are expected to provide reference for researchers in this field, and the development direction pointed out can serve as the next focus of research.
In the context of informatization and digitization, medical big data has become crucial for promoting medical research and technological innovation, posing unprecedented challenges to the construction and operation of big data research supercomputing platforms. This article systematically elaborates on the construction plan of the scientific research supercomputing platform of the West China Biomedical Big Data Center of Sichuan University, as well as the management and service models that support data research. It also compares the scale and operation of existing scientific research supercomputing platforms at home and abroad, providing a reference for the construction and management of medical big data scientific research supercomputing platforms in other institutions.
Objective To explore a new teaching mode relying on the new media platform, aiming to stimulate residency standardized trainees’ interest in learning theories related to gynecology outpatient surgery, improve practical operation skills, and achieve better teaching effects. Methods The residency standardized trainees who rotate in the gynecology outpatient of West China Second University Hospital, Sichuan University between July 2021 and June 2022 were selected. According to the random number table method, the trainees were divided into the control group (using the traditional teaching mode) and the intervention group (using the teaching mode of combining the flipped classroom and simulated teaching relying on the new media platform). The assessment results, teacher evaluation, trainees self-evaluation and teaching satisfaction of the two groups were compared and analyzed. Results A total of 118 trainees were enrolled, 59 in each group. There was no significant difference in gender, age, years of training and education level between the two groups (P>0.05). The total scores of evaluation scores (87.59±4.54 vs. 85.17±3.70), teachers’ evaluation (87.05±3.79 vs. 85.14±3.75), and trainees’ self-evaluation (87.81±4.41 vs. 85.54±3.96) of trainees in the intervention group were better than those in the control group, and the differences were statistically significant (P<0.05). The clinical thinking ability [teachers’ evaluation (24.49±1.62 vs. 23.22±2.05), trainees’ self-evaluation (25.25±1.99 vs. 23.97±2.27) and operation skills [teachers’ evaluation (37.05±1.58 vs. 36.10±1.99), trainees’ self-evaluation (36.75±2.73 vs. 35.66±2.56)] of trainees in the intervention group were better than those in the control group, and the differences were statistically significant (P<0.05). The satisfaction rate of the trainees in the intervention group was 98.3%, and that of the trainees in the control group was 93.2%. The teaching satisfaction of the intervention group was better than that of the control group (P<0.05). Conclusion The teaching mode of combining flipped classroom and simulated teaching relying on the new media platform has effectively stimulated residency standardized trainees’ learning interest in gynecological outpatient surgery, improved trainees’ clinical practice ability, improved teaching satisfaction, achieved good teaching results, and can be promoted as a new teaching mode.
The full-cycle rehabilitation management for orthopedic patients can solve the problems of standardization, systematization, and whole process of orthopaedic rehabilitation management, and prevent short-term and long-term complications. The First Affiliated Hospital of Sun Yat-sen University has constructed a full-cycle rehabilitation management platform for orthopedic patients based on multi-source data since 2023, including six modules: multi-source data collection and integration module, intelligent individualized rehabilitation program setting module, and visual rehabilitation training module, and has explored a digitally-driven full-cycle rehabilitation management mode for orthopedic patients. This article elaborates on the platform’s functional design and implementation, full-cycle rehabilitation management mode, and application effectiveness, in order to provide a reference for promoting the integration of mobile health and orthopedic patient rehabilitation practice.
ObjectiveTo evaluate the short-term clinical outcomes of transanal total mesorectal excision (TaTME) for mid-to-lower rectal cancer and provide evidence for clinical decision-making. MethodsThe relevant literature from domestic and international databases in recent years was reviewed to systematically assess the current application of TaTME in the treatment of mid-to-low rectal cancer. A comparative analysis was conducted between the TaTME and laparoscopic total mesorectal excision (LapTME), focusing on intraoperative outcomes, short-term postoperative recovery, intraoperative and postoperative complications, oncological prognosis, and the learning curve. ResultsConventional LapTME presented significant challenges in performing precise maneuvers within the pelvis and around the rectum, particularly in patients with “difficult pelvis” characteristics such as obesity, narrow pelvis, or male anatomy. In contrast, TaTME demonstrated certain advantages, including improved visualization of anatomical planes, reduced intraoperative bleeding, lower conversion rate to open surgery, faster short-term postoperative recovery, and enhanced specimen quality. ConclusionTaTME is a safe procedure with short-term outcomes, which is superior or comparable to those of laparoscopic surgery, offering a new surgical option for the treatment of mid-to-lower rectal cancer.
As a science which focuses on evidence, the decision making process of evidence medicine encounters an opportunity for development in the big data era. The starting point is shifting forward from evidence to data. The big data technology is playing an active role in evidence's collection, process and utilization. Evidence is more objective, righteous, authentic, transparent and easier to collect. Thus, to initiate evidence-based medicine research in the big data era and to structure an evidence-based medicine intelligent service platform, a full-scaled strategy should be developed in order to improve the quality of evidence. To promote the complete publicity of clinical research data, structuralized clinical data standard should be constructed. To provide a pathway to patients' follow-up data, portable and wearable monitoring devices should be popularized. To avoid risks from utilization of clinical research big data, regulations of clinical data usage should be implemented.