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.

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.

Application research and design strategy on smart responsive mesoporous silica anti-tumor nanodelivery systems / 药学学报

Malignant tumors are major diseases that endanger human health. Due to their complex and variable microenvironment, most anti-tumor drugs cannot precisely reach the focal tissue and be released in a controlled manner. Intelligent responsive nano carriers have become a hot spot in the field of anti-tumor drug delivery systems. As an excellent nano material, mesoporous silica has the advantages of non-toxic, stable, adjustable pore volume and pore diameter, and easy functional modification on the surface. By virtue of its perceptive response to the tumor microenvironment or physiological changes, it can achieve the targeted drug release or controlled drug release of the drug delivery system in the tissue, making it an ideal carrier for intelligent response drug delivery system. In this paper, we review the design strategies and current research status of smart responsive anti-tumor drug delivery systems based on mesoporous silica, in order to provide a reference for the development of anti-tumor drug nanoformulations.

Simulator of Heart Rate and Respiratory Rate for Monitoring Accuracy of Intelligent Sleep Monitoring Devices / 中国医疗器械杂志

OBJECTIVE@#Invent a simulator which provides a simulation of heart rate and respiratory rate to the intelligent sleep monitoring devices based on precision pressure sensors.@*METHODS@#The simulator was composed of control part and simulated silicone doll. The simulated silicone doll contains heartbeat simulator and breathing simulation airbag. Heartbeat and breathing combination pressure signal can be produced according to frequency set values. Frequencies of pressure signal of the simulator were compared with the monitoring results of intelligent sleep monitoring devices with known accuracy to verify the frequency accuracy of pressure signal of the simulator. Verified the repeatability and stability of the simulator with a stopwatch.@*RESULTS@#The heart rate of the simulator was with in ±2 beats per minute of the monitoring results of intelligent sleep monitoring devices and the respiratory rate of the simulator was with in ±2 times per minute of the monitoring results. The repeatability and stability of the simulator was better than ±5% according to results with a stopwatch.@*CONCLUSIONS@#It's practicable to use the simulator which provides a simulation of heart rate and respiratory rate to the accuracy test of the intelligent sleep monitoring devices based on precision pressure sensor.

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.

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.

Methodology for adaptive decision--making research on manufacturing process of traditional Chinese medicine based on deep reinforcement learning / 中国中药杂志

The manufacturing process of traditional Chinese medicine is subject to material fluctuation and other uncertain factors which usually cause non-optimal state and inconsistent product quality. Therefore, it is necessary to design and collect the quality-rela-ted physical parameters, process parameters, and equipment parameters in the whole manufacturing process of traditional Chinese medicine for digitization and modeling of the process. In this paper, a method for non-optimal state identification and self-recovering regulation was developed for active quality control in the manufacturing process of traditional Chinese medicine. Moreover, taking vacuum belt drying process as an example, a DQN algorithm-based intelligent decision model was established and verified and the implementation process was also discussed and studied. Thus, the process parameters-based self-optimization strategy discovery and path planning of optimal process control were rea-lized in this study. The results showed that the deep reinforcement learning-based artificial intelligence technology was helpful to improve the product quality consistency, reduce production cost, and increase benefit.

A neonatal intelligent regulation system based on the combination of mild hypothermia mattress and hyperbaric oxygen chamber: introduction to a patent / 中国当代儿科杂志

Neonatal hypoxic-ischemic encephalopathy (HIE) is a common disease that affects brain function in neonates. At present, mild hypothermia and hyperbaric oxygen therapy are the main methods for the treatment of neonatal HIE; however, they are independent of each other and cannot be combined for synchronous treatment, without monitoring of brain function-related physiological information. In addition, parameter setting of hyperbaric oxygen chamber and mild hypothermia mattress relies on the experience of the medical practitioner, and the parameters remain unchanged throughout the medical process. This article proposes a new device for the treatment of neonatal HIE, which has the modules of hyperbaric oxygen chamber and mild hypothermic mattress, so that neonates can receive the treatment of hyperbaric oxygen chamber and/or mild hypothermic mattress based on their conditions. Meanwhile, it can realize the real-time monitoring of various physiological information, including amplitude-integrated electroencephalogram, electrocardiogram, and near-infrared spectrum, which can monitor brain function, heart rate, rhythm, myocardial blood supply, hemoglobin concentration in brain tissue, and blood oxygen saturation. In combination with an intelligent control algorithm, the device can intelligently regulate parameters according to the physiological information of neonates and give recommendations for subsequent treatment.

Intelligent nanotherapeutic strategies for the delivery of CRISPR system

CRISPR, as an emerging gene editing technology, has been widely used in multiple fields due to its convenient operation, less cost, high efficiency and precision. This robust and effective device has revolutionized the development of biomedical research at an unexpected speed in recent years. The development of intelligent and precise CRISPR delivery strategies in a controllable and safe manner is the prerequisite for translational clinical medicine in gene therapy field. In this review, the therapeutic application of CRISPR delivery and the translational potential of gene editing was firstly discussed. Critical obstacles for the delivery of CRISPR system in vivo and shortcomings of CRISPR system itself were also analyzed. Given that intelligent nanoparticles have demonstrated great potential on the delivery of CRISPR system, here we mainly focused on stimuli-responsive nanocarriers. We also summarized various strategies for CIRSPR-Cas9 system delivered by intelligent nanocarriers which would respond to different endogenous and exogenous signal stimulus. Moreover, new genome editors mediated by nanotherapeutic vectors for gene therapy were also discussed. Finally, we discussed future prospects of genome editing for existing nanocarriers in clinical settings.

Exploration of mini-intelligent PIVAS module construction based on data middle platform service exchange system / 中国药房

The traditional intravenous infusion configuration in medical institutions has the shortcomings of long time and low efficiency， and it is difficult to ensure that the dispensed liquid medicine is not contaminated. At the same time， medical staff may be exposed to risks such as cytotoxic drugs due to lack of protection. To solve the defects and deficiencies in intravenous infusion configuration， the “Dolphin 7” pharmacy intravenous compounding robots are introduced in our hospital， cluster management platform is constructed based on data middle platform service exchange system； mini-intelligent PIVAS module is designed and constructed. The mode can reduce the workload of medical staff， save medical construction and labor costs， also help to promote and deepen the construction of intelligent 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.