Reflections on intelligent transformation of biomedicine industry / 中国生物制品学杂志

@#The biomedicine industry is a strategic emerging industry that is related to the national economy,people's livelihood,and national security. As a new generation of digital production technology,the intelligent manufacturing of biopharmaceuticals has been proposed by policies such as the“14th Five Year Plan”for the development of the bioeconomy,and has become an important direction for the transformation and upgrading of the biopharmaceutical industry. This paper started with the background and significance of studying the intelligent transformation of the biopharmaceutical industry,analyzed the goals of the intelligent transformation of biopharmaceutical enterprises,and proposed relevant countermeasures and suggestions to accelerate the promotion of high-end intelligent transformation of the domestic biopharmaceutical industry.

MobileNetV3 network-based diagnosis of caries and periapical periodontitis from periapical films / 口腔疾病防治

Objective@#To research the effectiveness of deep learning techniques in intelligently diagnosing dental caries and periapical periodontitis and to explore the preliminary application value of deep learning in the diagnosis of oral diseases@*Methods@#A dataset containing 2 298 periapical films, including healthy teeth, dental caries, and periapical periodontitis, was used for the study. The dataset was randomly divided into 1 573 training images, 233 validation images, and 492 test images. By comparing various neural network models, the MobileNetV3 network model with better performance was selected for dental disease diagnosis, and the model was optimized by tuning the network hyperparameters. The accuracy, precision, recall, and F1 score were used to evaluate the model's ability to recognize dental caries and periapical periodontitis. Class activation map was used to visualization analyze the performance of the network model@*Results@#The algorithm achieved a relatively ideal intelligent diagnostic effect with precision, recall, and accuracy of 99.42%, 99.73%, and 99.60%, respectively, and the F1 score was 99.57% for classifying healthy teeth, dental caries, and periapical periodontitis. The visualization of the class activation maps also showed that the network model can accurately extract features of dental diseases.@*Conclusion@#The tooth lesion detection algorithm based on the MobileNetV3 network model can eliminate interference from image quality and human factors and has high diagnostic accuracy, which can meet the needs of dental medicine teaching and clinical applications.

Ethical Challenges and Countermeasures of Doctor-patient Relationship in the Context of Artificial Intelligence Medical Treatment / 中国医学伦理学

Medical Artificial Intelligence (AI) makes the traditional doctor-patient relationship present a new pattern, but also highlights many ethical problems: inability to protect the rights and interests of patients, weakening the main responsibility of medical personnel, weakening the practical ability of medical personnel, and challenging the main status of medical personnel, etc.. It is necessary to improve relevant laws, regulations and regulatory system, adhere to the main status of medical personnel, improve the public awareness and acceptance of medical AI, and strengthen the construction of ethical system of AI, so as to deal with the ethical anomie caused by intelligent medical treatment and promote the harmonious development of doctor-patient relationship. It is expected that through the combination of AI and professional ethics principles, AI will be brought into daily clinical practice responsibly, to provide patients with better medical services.

Opinion on the development and research status of intelligent ophthalmology in China / 国际眼科杂志(Guoji Yanke Zazhi)

This paper provides a comprehensive analysis of the current state of intelligent ophthalmology in China, including technological advancements, academic exchange platforms, policy support, future challenges, and potential solutions. Technologically, remarkable progress have been made in various areas of intelligent ophthalmology in China, including diabetic retinopathy, fundus image analysis, and crucial aspects such as quality assessment of medical artificial intelligence products, clinical research methods, technological evaluation, and industrial standards. Researchers are constantly improving the safety and standardization of intelligent ophthalmology technology by formulating clinical application guidelines and standards. Academic exchange platforms have been established to provide extensive collaboration opportunities for professionals across diverse fields, and various academic journals serve as publication platforms for intelligent ophthalmology research. Regarding public policy, the Chinese government has not only established a supportive policy environment for the advancement of intelligent ophthalmology through various documents and regulations, but provided a legal basis and management framework. However, there are still challenges to overcome, such as technological innovation, data privacy and security, outdated regulations, and talent shortages. To tackle these issues, there is a requirement for increased technological research and development, the establishment of regulatory frameworks, talent cultivation, and greater awareness and acceptance of new technologies among patients. By comprehensively addressing these challenges, intelligent ophthalmology in China is expected to continue leading the industry's global development, bringing more innovation and convenience to the field of ophthalmic healthcare.

Forecasting The Risk Of Chronic Kidney Disease Using Artificial Intelligence Approaches

In this Paper With the aid of AI techniques, this study aims to predict the early detection of chronic kidney disease, also known as chronic renal disease, in diabetic patients. It then suggests a decision tree to reach specific conclusions with desired accuracy by evaluating its performance in relation to its specification and sensitivity. Methods: The behaviour of learning algorithms based on a set of data mining indicators affects the models that are produced proportionately. Predicting the future is no longer a difficult task thanks to the promises of predictive analytics in big data and the use of machine learning algorithms, especially for the health sector, which has undergone significant evolution as a result of the development of new computer technologies that gave rise to numerous fields of study research. Many initiatives are made to deal with the explosion of medical data on the one hand, and to learn meaningful information from it, forecast diseases, and anticipate treatments on the other. To extract meaningful information and aid in decision-making, researchers used all the technological advancements, including big data analytics, predictive analytics, machine learning, and learning algorithms.

Patent application of intelligent quality control technology in traditional Chinese medicine production process: a review / 中国中药杂志

In the new stage for intelligent manufacturing of traditional Chinese medicine(TCM) from pilot demonstration to in-depth application and comprehensive promotion, how to raise the degree of intelligence for the process quality control system has become the bottleneck of the development of TCM production process control technology. This article has sorted out 226 TCM intelligent manufacturing projects that have been approved by the national and provincial governments since the implementation of the "Made in China 2025" plan and 145 related pharmaceutical enterprises. Then, the patents applied by these pharmaceutical enterprises were thoroughly retrieved, and 135 patents in terms of intelligent quality control technology in the production process were found. The technical details about intelligent quality control at both the unit levels such as cultivation, processing of crude herbs, preparation pretreatment, pharmaceutical preparations, and the production workshop level were reviewed from three aspects, i.e., intelligent quality sensing, intelligent process cognition, and intelligent process control. The results showed that intelligent quality control technologies have been preliminarily applied to the whole process of TCM production. The intelligence control of the extraction and concentration processes and the intelligent sensing of critical quality attributes are currently the focus of pharmaceutical enterprises. However, there is a lack of process cognitive patent technology for the TCM manufacturing process, which fails to meet the requirements of closed-loop integration of intelligent sensing and intelligent control technologies. It is suggested that in the future, with the help of artificial intelligence and machine learning methods, the process cognitive bottleneck of TCM production can be overcome, and the holistic quality formation mechanisms of TCM products can be elucidated. Moreover, key technologies for system integration and intelligent equipment are expected to be innovated and accelerated to enhance the quality uniformity and manufacturing reliability of TCM.

Research progress and maturity assessment of continuous manufacturing of traditional Chinese medicine / 中国中药杂志

The pharmaceutical manufacturing model is gradually changing from intermittent manufacturing to continuous manufacturing and intelligent manufacturing. This paper briefly reviewed the supervision and research progress in continuous pharmaceutical manufacturing in China and abroad and described the definition and advantages of continuous pharmaceutical manufacturing. The continuous manufacturing of traditional Chinese medicine(TCM) at the current stage was summarized in the following three terms: the enhancement of the continuity of intermittent manufacturing operations, the integration of continuous equipment to improve physical continuity between units, and the application of advanced process control strategies to improve process continuity. To achieve continuous manufacturing of TCM, the corresponding key technologies, such as material property characterization, process modeling and simulation, process analysis technology, and system integration, were analyzed from the process and equipment, respectively. It was proposed that the continuous manufacturing equipment system should have the characteristics of high speed, high response, and high reliability, "three high(H~3)" for short. Considering the characteristics and current situation of TCM manufacturing, based on the two dimensions of product quality control and production efficiency, a maturity assessment model for continuous manufacturing of TCM, consisting of operation continuity, equipment continuity, process continuity, and quality control continuity, was proposed to provide references for the application of continuous manufacturing technology for TCM. The implementation of continuous manufacturing or the application of key continuous manufacturing technologies in TCM can help to systematically integrate advanced pharmaceutical technology elements and promote the uniformity of TCM quality and the improvement of production efficiency.

Establishment and application of pediatric outpatient and emergency intelligent pharmacy service system in our hospital / 中国药房

OBJECTIVE To provide reference for the construction of intelligent pharmacy and quality control of each link in medical institutions. METHODS The problems， difficulties， and risk points in the links of prescription extraction， allocation， drug resource utilization， prescription and child information verification in pediatric outpatient and emergency pharmacy of our hospital were sorted out to put forward the solutions. The pediatric outpatient and emergency intelligent pharmacy service system of our hospital was established， and its effectiveness was analyzed. RESULTS & CONCLUSIONS In response to the risk points of drug accumulation， dispensing errors， being prone to complaints or disputes， safety hazards in dispensing， and pharmacist’s incorrect operation in various stages such as payment， taking medicine and dispensing， pediatric outpatient and emergency intelligent pharmacy service system was established in our hospital by adding intelligent queuing links， enabling “QR codes”， introducing devices such as rapid dispensing machines， intelligent drug racks， and intelligent dismantling machines. After using the system， the average outpatient dispensing speed increased from 37.55 s/piece to 16.97 s/piece （direct delivery prescriptions） and 27.10 s/piece （non-direct delivery prescriptions）， and the average emergency dispensing speed increased from 26.98 s/piece to 19.61 s/piece （P＜ 0.01）. The walking distance for pharmacists to dispense prescriptions had decreased from 4-16 m/piece to 2-5 m/piece， and the inventory rate had shortened from 2.0-2.2 h/time to 1.5-1.7 h/time. The rate of dispensing error decreased from 0.003% to 0 （P＜ 0.01）. At the same time， the improvement of pharmaceutical service quality has been demonstrated in terms of shortening the waiting time of family members of child， precise drug supplement and helping family members understand medication information. The application of the system can further promote pediatric outpatient and emergency pharmacy services in our hospital.

Application and optimization of batch number traceability management mode in intelligent anesthesia pharmacy of operating room / 中国药房

OBJECTIVE To establish a drug batch number traceability management mode in intelligent anesthesia pharmacy of operating room， improve the management level of batch number traceability in anesthesia pharmacy of operating room and ensure the safety of surgical medication. METHODS The problems encountered in the application of batch number traceability management mode in intelligent anesthesia pharmacy of operating room were analyzed to implement the optimization measure and summarize the optimization effect. RESULTS In view of the incompatibility of multiple batch numbers on the dosing track， the insufficient number of drugs in the automated dispensing cabinet， the long replenishment time， the low stability of the automated dispensing cabinet， and the tedious management of drugs with a near-expiration period， the following measures were implemented， including changing the minimum unit of dosing， adjusting the drug base number and surgery schedule， optimizing the supplementary drug delivery order， repairing dosing tracks of the automated dispensing cabinet， adding the batch number correction function， improving the screening function of drugs with a near-expiration period， and configuring the automated dispensing cabinet in the recovery room. It realized the coexistence of multiple batch numbers on the dosing track， the sufficient number of drugs in the automated dispensing cabinet， the shortening of the replenishment time， the improvement in the stability of the automated dispensing cabinet， and the efficient management of drugs with a near-expiration period. CONCLUSIONS The batch number traceability management mode is established in intelligent anesthesia pharmacy of operating room in our hospital， which improves the system function module， optimizes the work process， increases the stability of the automated dispensing cabinet， improves the work efficiency， and realizes the refined management of surgical medication.

Research Overview of Internet of Things Technology in Medical Engineering / 中国医疗器械杂志

Internet of Things plays a vital role in the field of healthcare. Smart medical devices, innovative sensors and lightweight communication protocols are making the Internet of Medical Things possible. This paper summarizes the research progress of Internet of Things technology in medical engineering from two aspects of health monitoring system and ingestible sensor monitoring equipment. The health monitoring system is analyzed from heart disease monitoring, diabetes monitoring and brain nerve monitoring. The medical equipment that can absorb sensors is represented by capsule endoscope. This paper further summarizes the relevant situation of smart hospital, and finally discusses the challenges and countermeasures of the Internet of Things technology in medical engineering, in order to lay the foundation and provide ideas for the research of the Internet of Things technology in medical engineering.

Application and Progress of Intelligent Assistant Diagnosis in Mental Health Assessment System / 中国医疗器械杂志

The establishment of mental health assessment system provides a new way for the early diagnosis of mental health problems, in view of the growing population of mental diseases and problems and the uneven distribution of mental health resources. In the mental health assessment system, intelligent assistant diagnosis can assist or help psychiatrists improve their work efficiency. Intelligent assistant diagnosis provides technical support for predictive screening and auxiliary diagnosis of mental health problems. It is an intelligent diagnosis research based on big data analysis and machine learning in mental health assessment system. This article mainly reviews the application methods, the application progress in the field of mental health, as well as related technical issues and safety issues, and prospects the future research development.

Analysis of the application risks and legal strategies of intelligent medical algorithms / 中华医院管理杂志

Artificial intelligence algorithms play an important role in the medical field with their unique technological advantages and operational logic. However, due to the " black box" nature and security flaws of artificial intelligence algorithms, there were problems in the application of intelligent medical algorithms, such as the alienation of medical personnel′s subject status, the alienation of right to informed consent for diagnosis and treatment, the alienation of health fairness, and the alienation of health information security. At the same time, there were some practical difficulties in the process of regulating risks, such as the difficulty in determining the responsibility of the legal person, the incompleteness of the causal chain, the lag of the scene regulation of laws and regulations, and the increasing difficulty in protecting health information. In order to prevent the alienation of power in medical intelligent algorithms and promote the healthy development of intelligent medicine, the author suggested to adhere to the embedding of tool attributes in the underlying logic of medical algorithms, enhance the interpretability of medical algorithms, improve relevant laws and regulations, and strengthen the risk supervision mechanism of intelligent medical algorithms.

Exploration of centralized closed-loop management mode for gynecological day surgery / 中华医院管理杂志

Day surgery can effectively improve the utilization of medical resources. In October 2015, an obstetrics and gynecology hospital established a gynecological day surgery center to centrally manage gynecological day surgery and continuously optimize the management process. In July 2019, the hospital established an intelligent information platform for gynecological daytime surgery managemen. Based on this platform, the " evaluation-appointment-hospitalization-follow-up-chronic disease management" information management process was implemented, the " pre hospital-in hospital-post hospital" full process medical quality and safety monitoring was carried out to form a centralized closed-loop management mode for gynecological day surgery led by gynecologists. Under this management mode, the number of gynecological day surgeries in the hospital has increased from 2 866 cases in 2019 to 4 065 cases in 2021, providing convenient medical services and personalized chronic disease management services, and ensuring the quality and safety of gynecological day medical care, for reference for promoting the high-quality development of day surgeries in specialized hospitals.

Natural orifice transluminal endoscopic lithotripsy with intelligent control of renal pelvic pressure for staghorn calculi with infection: a case report with surgical video / 中华泌尿外科杂志

Percutaneous nephrolithotripsy is the first line treatment for complete staghorn calculi, but there are risks such as renal function damage, bleeding, and infection. A case of complete staghorn calculi 8.3 cm×4.5 cm and mean CT value of 1 321 HU was reported. Urine culture suggested proteus mirabilis infection. The patient was given sensitive antibiotics for 3 days, and was treated with one session of natural orifice transluminal endoscopic lithotripsy with intelligent control of renal pelvic pressure. KUB on the first postoperative day showed residual stones of 1.0 cm×0.5 cm. There were no complications.

Development and application of the virtual simulation teaching experiment software of the bronchoscopy intelligent navigation-based fiducial marker implantation technology / 中华放射医学与防护杂志

Objective:To investigate the necessity and feasibility of the virtual simulation teaching experiment software of the bronchoscopy intelligent navigation-based fiducial marker implantation technology in the clinical application of radiotherapy.Methods:This study developed a 3D virtual operation and interactive system using the Unity3D engine, tools including 3Dmax and Maya, and the SQL database. The scenes in the system were produced using the currently popular next-generation production process. Targeting the priorities and difficulties in the implantation of fiducial markers, the system developed in this study allowed for simulated demonstration and training based on 12 steps and 10 knowledge points. Internal tests and remote evaluation tests were adopted in this system to obtain the test result of each subject. Then, the application value of the system was analyzed based on the test result.Results:As of May 1, 2022, the system had received 2 409 views and 425 test participants, with an test completion rate of 100% and an experiment pass rate of 96.5%. Moreover, this system won unanimous praise from 167 users, primarily including the students majoring in multilevel medical imaging technology and medical imaging science from the Fujian Medical University, as well as the radiotherapy-related staff of this university.Conclusions:The virtual simulation teaching experiment software of the bronchoscopy intelligent navigation-based fiducial marker implantation technology can be applied to the teaching of students and the training of related professionals.

Application of 3D ResSE-Unet-based intelligent delineation of clinical target volume in postoperative radiotherapy for breast cancer / 中华放射医学与防护杂志

Objective:To evaluate the effectiveness and feasibility of 3D ResSE-Unet-based intelligent delineation of clinical target volume (CTV) in postoperative adjuvant radiotherapy for breast cancer.Methods:A total of 974 cases of breast cancer treated in the Cancer Diagnosis and Treatment Center of the Fourth Affiliated Hospital of Guangxi Medical University from September 2018 to June 2022 were enrolled in this study, including 614 cases receiving total mastectomy and 360 cases treated with breast-conserving surgery. They were divided into a training set, a validation set, and a testing set. The training set consisted of 874 cases and was used to build a model of 3D ResSE-Unet-based intelligent CTV delineation. The validation set comprised 40 cases and was used to evaluate the feasibility and effectiveness of the clinical application of AI-based CTV design in the radiotherapy for breast cancer. The testing set was composed of 60 cases and was used to test the accuracy of intelligent CTV. The Wilcoxon rank test was used to compare the Dice similarity coefficient (DSC), 95% Hausdorff distance (HD95), and average surface distance (ASD) obtained using the intelligent delineation model.Results:The intelligent delineation model showed high precision. The CTV of cases treated with total mastectomy (CTV cw) and the CTV of cases treated with breast-conserving surgery (CTV b) had DSCs greater than 0.80 and greater than 0.88, respectively. Therefore, compared with CTV cw, CTV b had a higher DSC (0.91 ± 0.03 vs.0.83 ± 0.05, t = 7.11, P < 0.05). Both CTV cw and CTV b had lower HD 95 [(7.56 ± 3.42) mm vs.(8.77 ± 5.89) mm] and ASD [(1.85 ± 0.71) mm vs.(1.86 ± 0.83)mm], without statistically significant difference ( P > 0.05). The left/right supraclavicular and infraclavicular CTV (CTV2) had DSCs greater than 0.8. CTV2 also had low average HD95 and ASD, without statistically significant difference ( P > 0.05). Conclusions:The 3D ResSE-Unet-based intelligent CTV delineation has better consistency and feasibility in postoperative adjuvant radiotherapy for breast cancer, especially the CTVs after breast-conserving surgery.

Application of virtual intelligent system in bronchoscopy theory and operation training for PCCM physicians / 中华医学教育探索杂志

Objective:To evaluate the role of virtual bronchoscopy intelligent system in improving the theory and operation level of bronchoscopy in pulmonary and critical care medicine (PCCM) teaching for standardized training specialists.Methods:A total of 50 PCCM physicians who had participated in virtual bronchoscopy training in Xijing Hospital, Air Force Medical University from 2018 to 2021 were selected as research subjects. In this study, self-controlled method was adopted to evaluate the change of assessment indicators after 1 week and 2 weeks of training. Questionnaire survey was also used to evaluate the training effect. SPSS 23.0 software was used for paired t-test and Chi-square test. Results:All the 50 PCCM physicians successfully completed the training of virtual bronchoscopy operation. The theoretical score was significantly improved after the training [(80.0±5.2) points vs. (92.4±3.8) points]. The basic operation time [(1 050.9±103.3) s vs. (386.4±47.7) s], and the number of hitting the bronchial wall [(88.3±12.7) times vs. (27.0±5.3) times] were significantly reduced. The recovery rate of alveolar lavage fluid [(27.6±7.4)% vs. (58.0±8.2)%] and the positive rate of biopsy [(19.2±13.1)% vs. (86.8±10.8)%] were significantly increased. The learning curve of the final score indicated that the score improved more rapidly in the first week of training, and the score improved more slowly in the second week of training. Questionnaires before and after the training indicated that virtual intelligent training could significantly improve the confidence and proficiency of students in bronchoscopy.Conclusion:Through the systematic training of virtual bronchoscopy intelligent system, the PCCM physicians have significantly improved their theoretical knowledge and operational proficiency. Therefore, the virtual bronchoscopy training system has practical significance for improving the overall training effect of clinical bronchoscopy for PCCM trainees, which is worthy of promotion.

Application of the blended teaching model of "intelligent teaching" and "wisdom learning" in the practice teaching of integrated traditional Chinese and Western medicine in internal medicine / 中华医学教育探索杂志

Objective:To investigate the application effect of the blended teaching model of "intelligent teaching" and "wisdom learning" in the practice teaching of integrated traditional Chinese and Western medicine in internal medicine.Methods:According to the principle of randomization, 54 interns in Class 1 of integrated traditional Chinese and Western medicine in the grade of 2019 were selected as control group and received traditional teaching, and 56 interns in Class 2 were selected as observation group and received blended teaching with "intelligent teaching" and "wisdom learning". After 6 months of internship, the two groups were compared in terms of the scores of theoretical assessment (basic theoretical knowledge and professional theoretical knowledge), clinical practice ability [Leicester Assessment Package (LAP)], and degree of satisfaction with teaching. SPSS 17.0 was used to perform the t-test and the chi-square test. Results:At the end of internship, compared with the control group, the observation group had significantly higher score of basic theoretical knowledge (41.53±3.42 vs. 38.71±3.38, P<0.05), score of professional theoretical knowledge (39.49±3.14 vs. 37.85±3.07, P<0.05), LAP score (84.32±6.65 vs. 78.46±6.17, P<0.05), and degree of satisfaction with teaching ( P<0.05). Conclusion:For interns majoring in integrated traditional Chinese and Western medicine, the blended teaching model of "intelligent teaching" and "wisdom learning" can strengthen their mastery of theoretical knowledge, enhance their clinical practice ability, and improve their degree of satisfaction with teaching.

Virtual simulation teaching exploration of clinical laboratory instrumentation based on "Internet +" / 中华医学教育探索杂志

Clinical laboratory instrumentation is a practical course. In order to change the limitations of the experimental site and the lack of large automatic testing instruments in the current teaching, this paper puts forward the idea of virtual simulation teaching of clinical laboratory instrument. Based on the training objective of medical laboratory application-oriented talents, the design and management of virtual simulation teaching of single instrument and comprehensive project training are formed. The teaching effect evaluation and quality control method are constructed, which significantly improves the students' autonomous learning ability and the comprehensive practical ability. It further promotes the connotation construction of medical laboratory experiment teaching with the help of Internet sharing advantages.

On the construction of private class learning community based on intelligent teaching platform and analysis of its application effects / 中华医学教育探索杂志

In order to improve the effectiveness of private class inquiry with the development of information teaching, the smart teaching platform has been established, with instructional management, curriculum setting, teacher preparation, classroom application, supervision and monitoring modules. Taking the platform as the medium, the small class inquiry learning community of entity curriculum is constructed between students and the teachers. In the eight-year medical teaching, the content of learning cycle is designed according to the entity curriculum, which is issued on cloud platform before class, in class and after class. Students learn basic concepts by themselves in the learning community, explore the application of knowledge under the guidance of teachers, and expand knowledge in class or after class. After having test in teaching procedure, the small class learning community based on smart teaching cloud platform has a submission rate, interaction rate and score rate of more than 90%. It can not only make full use of the advantages of information-based teaching resources, but also build face-to-face learning community in the course teaching, reflecting the emotional interaction of personalized teaching. It's suggested that new approaches to teaching should be student-centered and activity-based, engaging students actively in the learning process, which can promote students' autonomous learning ability and innovative thinking ability.