Perinatal depression (PND) is a critical public health issue affecting maternal and offspring health. Digital health intervention platforms, leveraging advantages in accessibility, privacy, and cost-effectiveness, demonstrate good application in PND prevention and treatment. This review systematically searched literature and policy documents published between January 2018 and March 2025 in CNKI, PubMed, Web of Science and World Health Organization. It summarized the development trajectory of digital health intervention platforms and their current applications and effectiveness in PND prevention and treatment. Existing evidence was evaluated across dimensions of efficacy, systematicity, and practicality, identifying major challenges faced by these platforms. Studies indicate that while PND digital health intervention platforms have achieved preliminary success in alleviating PND symptoms, widespread issues persist, including incomplete service closed-loop systems, low user adherence, and insufficient sustainability. Future efforts should focus on optimizing intervention content and interactive design, advancing intelligent assessment and tiered intervention strategies, strengthening continuous monitoring and crisis response mechanisms, and constructing a multidisciplinary collaborative support system. These steps are essential for achieving efficient, intelligent, and sustainable development of digital health intervention platforms for PND.

Objective:To investigate the awareness levels of doctors from various departments regarding fertility preservation to provide reference and suggestions for further improving awareness and promoting multidisciplinary development in fertility preservation.Methods:From November to December 2023, the China Alliance of Fertility Preservation initiated this survey covering 88 hospitals in 23 cities across 20 provinces in China. The survey focused on the degree of understanding of basic concepts, technological perceptions, treatment concepts, and related challenges regarding fertility preservation. Descriptive statistics and Fisher's exact test were used to analyze the difference in awareness levels across various departments.Results:There was a significant difference in the awareness of fertility preservation guidelines among physicians from different departments ( P<0.001). Reproductive center physicians had the highest level of understanding [68.3% (41/60)]. Doctors in the reproductive centers had a higher awareness rate of the five fertility preservation techniques (ovarian tissue cryopreservation, oocyte cryopreservation, sperm cryopreservation, testicular tissue cryopreservation, and embryo cryopreservation) than that in other departments (all P<0.05). Regarding treatment concepts, more reproductive center physicians believed that psychological counselling about fertility preservation before oncological treatment was necessary ( P=0.016). Hematologists had more worries and concerns about fertility preservation treatment. Additionally, 96.7% (58/60) of reproductive center physicians expressed the need to establish effective referral mechanisms within the same city, province, or across provinces. However, 55.6% (35/63) of oncologists, 64.6% (31/48) of hematologists, and 77.8% (7/9) of pediatricians considered treating primary tumors far more important than fertility preservation. Conclusion:Doctors from different departments have varying levels of understanding regarding fertility preservation. It is necessary to strengthen the dissemination and training of fertility preservation knowledge among physicians from various departments, as well as to promote a multidisciplinary treatment model to improve efficiency, to establish a comprehensive referral mechanism to improve patients' opportunities for fertility preservation.

Patients with advanced pregnancy complicated by acute ST-segment elevation myocardial infarction are relatively rare both domestically and internationally,and there are currently no relevant guidelines to guide clinical treatment.In this case,a 39-year-old pregnant woman was admitted to the hospital with sudden chest pain,and the electrocardiogram showed extensive anterior ST-segment elevation myocardial infarction.Coronary angiography showed subtotal subtotal occlusion of the proximal left anterior descending artery.Reperfusion and revascularization were given,and the blood flow grade of the trial of thrombolytic in myocardial infarction was restored.Complete intravascular ultrasonography to determine the cause of occlusion due to spontaneous hematoma of the left anterior descending artery.After the operation,a reasonable antiplatelet and anticoagulant treatment regimen was selected according to the coronary artery lesion,and the pregnancy was terminated at the appropriate time,and 1 live male baby was successfully delivered.Maternal and fetal health was followed up after 1、3 and 6 months.Through the experience and summary of the treatment process,combined with the literature,the pathogenesis of this disease is discussed,and the strategy of revascularization,the selection of antithrombotic drugs and the timing of pregnancy termination are discussed in depth for clinical reference.

[This corrects the article DOI: 10.1016/j.apsb.2022.05.019.].

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

Objective:To analyze the temporal distribution of other infectious diarrhea (OID) in Shenzhen and provide evidence for the prevention and control of OID.Methods:The incidence data of OID in Shenzhen from 2011 to 2023 were collected. The seasonal and trend decomposition using loess (STL), seasonal index method, concentration degree and circular distribution method were used to analyze the incidence trend and temporal distribution of OID.Results:A total of 477 611 cases of OID were reported in Shenzhen from 2011 to 2023, with an average annual incidence rate of 260.19/100 000 showing a fluctuating upward trend. The seasonal index method indicated that October-January was period with high incidence of OID in Shenzhen and the seasonal intensity began to decrease in 2020. STL revealed an obvious incidence peak in winter. The concentration method showed that OID had a certain seasonality before 2018 except 2016, but the seasonality was not obvious after 2018. The circular distribution results showed that r was 0.05, mean angle ā was 1.92° and angular standard deviation s was 141.93° ( Z=1 033.37, P<0.001), with the peak on January 1 st and the high incidence period from August 11 th to May 25 th. Conclusions:OID had a certain degree of seasonality in Shenzhen, with an obvious incidence peak in winter. Since the seasonal intensity of OID decreased after 2018, the surveillance, early warning and risk assessment of OID should be continued, and prevention and control measures should be adjusted timely according to the change in the characteristics of the epidemic.

Objective To optimize the design of the existing water conductivity control system for pharmaceutical water equipment of full membrane process so as to solve its problems in precision and long cycle time due to water source,ambient temperature and intermittent working mode.Methods The optimized water conductivity control system was composed of an alkali metering pump,a conductivity sensor and a programmable logic controller(PLC),which used a fuzzy proportional-integral-derivative(PID)controller to regulate the water conductivity of pharmaceutical water equipment of full membrane process,and the particle swarm optimization(PSO)algorithm to optimize the parameters of the fuzzy PID controller.A simulation model was established with MATLAB software to verify the performance of the optimized control system.Results Simulation results showed the optimized control system had reductions in overshoot(by 19％)and adjustment time(by 29％)when compared with the fuzzy PID control system,and enhanced control efficiency effectively.Conclusion The optimized control system optimized by the PSO algorithm improves the quality of produced water,and can meet the demands for rapid and safe production of pharmaceutical water by pharmaceutical water equipment of full membrane process in different conditions.[Chinese Medical Equipment Journal,2025,46(6):14-19]

In recent years,the prevalence of porcine infectious pleuropneumonia caused by Actinoba-cillus pleuropneumoniae(APP)has significantly increased in large-scale pig farms in China.The i-solation,identification,and biological characteristic testing of newly prevalent strains have impor-tant clinical significance.This study isolated four suspected APP strains(named XB2T-56,JMTLP-443,YD-THB-755,SYZJ-291)from lung samples of pig farms suspected of outbreaks of porcine infectious pleuropneumonia in Hubei Province.They were identified by PCR amplification,and multiplex PCR serological typing,the biological properties were tested by detecting the growth a-bility,hemolytic activity and biofilm forming ability.The drug resistance of the strains was ana-lyzed by drug sensitivity testing,and the virulence of one strain(XB2T-56)in mice and piglets was evaluated.The PCR identification result showed that all four clinical isolates were APP serotype 15 strains.These four strains grew slower than serotype 1 standard strains,had weaker hemolytic activity,but could form stronger biofilms.These strains are all less sensitive to cephalosporin,tylo-sin,sulfamethoxazole,and doxycycline,but sensitive to cefotaxime and enrofloxacin.The mice and piglet infection experiments showed that the isolated strain XB2T-56 has strong virulence.Artifi-cial intranasal infection causes acute death in piglets,with typical symptoms of pleuropneumonia in the lungs,and serotype 15 strains can be isolated from the lesion site.This study indicates that the APP serotype 15 strain has strong virulence,providing new date for the clinical epidemiological characteristics of APP.