With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Background As a traditional labor-intensive industry, the manufacturing sector is an important source of occupational exposure to hazards such as dust, toxic chemicals, and noise. Objective To analyze the current status and spatiotemporal patterns of occupational hazards including dust, toxic chemicals, and noise in manufacturing workplaces in Shanghai from 2020 to 2025, and to provided evidence for optimizing targeted prevention and control strategies. Methods Workplace monitoring data for manufacturing enterprises in Shanghai were obtained from the National Occupational Hazard Factor Monitoring System for Workplaces. Descriptive analyses were conducted to evaluate the exceedance rates of occupational hazard factors related to occupational exposure limits. GeoDa software was utilized to perform spatial autocorrelation analysis of hazard-specific exceedance rates to identify spatial clustering patterns. Results From 2020 to 2025, the number of monitored manufacturing enterprises in Shanghai increased from 374 to 504. The monitored enterprises were mainly small and micro enterprises located in suburban areas. Over the six-year period, the exceedance rate for dust-exposed work posts decreased from 21.05% to 10.03%, whereas the exceedance rate for chemical toxicant-exposed work posts remained below 3%. Noise showed the highest and most persistent exceedance rate remaining over 20% throughout the study period. Spatial autocorrelation analysis indicated that high-high clusters of dust hazards were consistently concentrated in suburban districts, including Qingpu, Jinshan, and Songjiang. The spatial pattern of chemical toxicant hazards changed over time, with high-low clusters later concentrated in Baoshan and Minhang. High-high clusters of noise hazards showed an expanding pattern, spreading from Qingpu and Songjiang to several other districts, including Jiading, Minhang, and Fengxian. Conclusion Occupational hazards in the manufacturing sector of Shanghai are mainly characterized by exceedances related to dust and noise, with noise emerging as the most persistent and spatially expanding monitored hazard. These hazards exhibit clear spatial heterogeneity: dust-related risks are concentrated in traditional industrial areas, chemical toxicant risks change dynamically with the spatial distribution of industries, and noise-related risks expand across multiple districts. Future occupational interventions should prioritize noise control and implement targeted prevention strategies based on spatial clustering characteristics.

ObjectiveTo observe the clinical efficacy and safety of Shenshuai Guanchang prescription in improving the intestinal barrier function，reducing non-indole uremic toxins，ameliorating micro-inflammatory state，and delaying renal function progression in non-dialysis patients with chronic kidney disease （CKD） stage 4-5. MethodsA total of 80 patients with CKD stage 4-5 who did not receive dialysis replacement therapy and were diagnosed with the syndrome of spleen and kidney deficiency，blood stasis and dampness turbidity were randomly assigned into a control group and a treatment group，with 40 patients in each group. The control group received conventional basic treatment and Western medicine symptomatic treatment，while the treatment group received combined intervention with Shenshuai Guanchang prescription through retention enema in addition to the treatment of the control group. Both groups had a treatment course of 4 weeks. The two groups were compared regarding the changes in urine toxin indicators ［p-cresyl sulfate （PCS） and trimethylamine oxide （TMAO）］，intestinal barrier indicators ［D-lactic acid （D-LA），lipopolysaccharide （LPS），and intestinal fatty acid-binding protein （I-FABP）］，renal function indicators ［serum creatinine （SCr），blood urea nitrogen （BUN），and estimated glomerular filtration rate （eGFR）］，and micro-inflammatory state indicators ［interleukin-6 （IL-6），tumor necrosis factor-α （TNF-α），and neutrophil-to-lymphocyte ratio （NLR）］ before and after treatment. The therapeutic effects were evaluated from three aspects：The efficacy regarding traditional Chinese medicine （TCM） symptom scores，the efficacy regarding laboratory indicators，and comprehensive efficacy. The safety of the clinical research drugs used by both groups of patients was also observed. ResultsA total of 37 cases in the treatment group and 38 cases in the control group completed the observation. After treatment，the treatment group showed declined levels of PCS，TMAO，D-LA，SCr，TNF-α，and NLR，spleen and kidney deficiency symptom score，blood stasis and dampness symptom score，and total symptom score （P<0.05），and increased eGFR （P<0.05）. Moreover，the treatment group had lower levels of PCS，TMAO，D-LA，I-FABP，IL-6，and TNF-α，spleen and kidney deficiency symptom score，blood stasis and dampness symptom score，and total symptom score （P<0.05），higher response rate regarding TCM symptoms （χ²=6.68，P<0.05），and higher comprehensive efficacy （χ²=4.08，P<0.05） than the control group. No significant abnormalities were observed in the safety indicators of the two groups of patients. During the treatment period，adverse reactions were reduced after symptomatic treatment，and no serious adverse reactions occurred. ConclusionShenshuai Guanchang prescription can alleviate the clinical symptoms，improve the intestinal barrier function，reduce non-indole-type uremic toxins，alleviate the micro-inflammatory state，and has good clinical application safety of non-dialysis patients with CKD stage 4-5.

Objective Using cockroach surveillance data in Nanjing from 2017 to 2024, we have descriptively analyzed population characteristics and changes in insecticide resistance among Blattella germanica, and have established a seasonal Autoregressive Integrated Moving Average (ARIMA) model to predict monthly population densities in Nanjing spanning the year 2025. Methods B. germanica density and infestation rate were monitored using the sticky trap method, and insecticide resistance was assessed using the residual contact method. Our ARIMA model was applied to fit and estimate cockroach density fluctuations over time. Results From 2017 to 2024, B. germanica accounted for 94.90% of all cockroach specimens captured in Nanjing, with an average density of 0.37 cockroaches per trap and an average infestation rate of 5.56%. Significant differences in density and infestation rate were observed among different habitats (P＜0.001). Significant downward annual trends in both density and infestation rate were found (P＜0.05). ARIMA was found to be the optimal model for fitting the density data from 2017 to 2024 (0, 1, 1) × (0, 1, 1)1 2. Conclusions From 2017 to 2024, B. germanica was overwhelmingly the dominant cockroach species in Nanjing, with both its density and infestation rate declining annually. A positive correlation was observed between the amount and proportion of insecticide use and the development of insecticide resistance (P＜0.05). The established model demonstrated good performance in predicting monthly B. germanica densities in Nanjing throughout 2025, providing a valuable reference for future surveillance and control efforts.

With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

Objective To systematically evaluate the risk prediction models for anastomotic leakage (AL) in patients with esophageal cancer after surgery. Methods A computer-based search of PubMed, EMbase, Web of Science, Cochrane Library, Chinese Medical Journal Full-text Database, VIP, Wanfang, SinoMed and CNKI was conducted to collect studies on postoperative AL risk prediction model for esophageal cancer from their inception to October 1st, 2023. PROBAST tool was employed to evaluate the bias risk and applicability of the model, and Stata 15 software was utilized for meta-analysis. Results A total of 19 literatures were included covering 25 AL risk prediction models and 7373 patients. The area under the receiver operating characteristic curve (AUC) was 0.670-0.960. Among them, 23 prediction models had a good prediction performance (AUC>0.7); 13 models were tested for calibration of the model; 1 model was externally validated, and 10 models were internally validated. Meta-analysis showed that hypoproteinemia (OR=9.362), postoperative pulmonary complications (OR=7.427), poor incision healing (OR=5.330), anastomosis type (OR=2.965), preoperative history of thoracoabdominal surgery (OR=3.181), preoperative diabetes mellitus (OR=2.445), preoperative cardiovascular disease (OR=3.260), preoperative neoadjuvant therapy (OR=2.977), preoperative respiratory disease (OR=4.744), surgery method (OR=4.312), American Society of Anesthesiologists score (OR=2.424) were predictors for AL after esophageal cancer surgery. Conclusion At present, the prediction model of AL risk in patients with esophageal cancer after surgery is in the development stage, and the overall research quality needs to be improved.

Objective:To analyze the registration status of clinical trials of TCM treatment for functional dyspepsia (FD); To provide references for relevant clinical trial registration and implementation.Methods:The clinical registration trials of TCM for the treatment of FD were retrieved from ChiCTR and clinicaltrials.gov until January 1st, 2025. Excel 2019 was used to extract and analyze study characteristics, including basic information (registration time, country/region, institution, funding source), study features and quality (study type, trial design, phase, number of centers, sample size, interventions, outcome measures, methodological quality, reporting quality), as well as recruitment status and ethical review.Results:A total of 89 registered studies were included. Registration began in 2008 with 3 studies, peaking in 2021 with 14 studies. The studies involved 6 countries, with domestic trials covering 18 provincial-level regions in China and 52 clinical trial institutions. Primary funding sources were national funding and pharmaceutical company support. Most studies were interventional with randomized parallel-controlled designs, commonly using simple randomization. Post-marketing drug trials were the most frequent phase, and single-center trials predominated, involving a total sample size of 19 776 cases. Common interventions included acupuncture/massage and Chinese patent medicines. Frequently used outcome measures were effectiveness rate, symptom evaluation, and quality of life assessment, though issues existed with non-standardized reporting and lack of TCM-specific indicators. Methodological quality needed further improvement.Conclusions:Although the number of registered clinical trials of TCM treatment for FD has increased, the overall quantity remains insufficient. Researchers should emphasize optimization of registration details and study protocols to further enhance registration quality.

In recent years,with the continuous advancement of deep space exploration missions,astronauts have been increasingly exposed to complex and extreme environmental factors in space,such as microgravity,space radiation,circadian rhythm disruption,and confined isolation.These conditions can easily induce brain dysfunction in astronauts,manifesting as cognitive decline,emotional disturbances,sleep disorders,and neuroinflammatory responses.Traditional Chinese Medicine(TCM),characterized by its holistic regulation and syndrome differentiation-based treatment principles,exhibits multi-target regulation and systemic coordination,and has attracted growing attention in the field of brain function protection.This study systematically reviews the protective applications and research progress of TCM and related techniques in both actual spaceflight missions and simulated space environment models against brain functional disorders.The underlying mechanisms and future prospects are discussed,with the aim of providing insights for safeguarding astronauts'brain health and laying a theoretical foundation for the precise intervention and systematic protection strategies of TCM in future deep space missions.

Nursery services are a vital component of childcare for infants and toddlers.The quality and management of nursery services significantly impact the holistic development of infants and toddlers in terms of their physical,psychological,and social skills and capabilities.The first 1000 days in the life of an infant or toddler are a critical period that shapes their health status for their whole life,which highlights the need to prioritize health in childcare for infants and toddlers and to approach daily childcare services from a medical perspective.Based on the approach of integrating medical care and education,we innovatively explored and constructed a multidisciplinary patrol supervision model for childcare services,focusing on the PDCA cycle(Plan-Do-Check-Act cycle).We aim at establishing a multidisciplinary team of medical and nursing experts who provide evaluation and guidance for the institutional management,health management for infants and toddlers,disease prevention,and risk identification and screening of childcare services for infants and toddlers.This approach addresses the issue of the simplistic nature of the traditional patrol supervision involving only childcare physicians,improves service quality with high efficiency,meets the expectations of both childcare service providers and the families of infants and toddlers-the users of childcare services,enhances the effective implementation of childcare for infants and toddlers based on the integration of medical care and education,and improves the quality of a health-centered approach to childcare for infants and toddlers.

Objective To study the mandibular characteristics of the modern population in Beijing region.Methods In this study,we examined 22 measurements and their sexual dimorphism index(SDI)of 193 adult mandibles(126 males,67 females)collected from the Beijing region.In addition,eight mandibular indexes were calculated.These mandibular dimensions of the Beijing population were compared with those of other modern and contemporary populations in Asia,as well as Neolithic-historical populations in Northern China.Results The predominant mandibular index in the contemporary Beijing population was dolichostenomandibular.The SDI of mandibular size exhibited a wide range of variation.It was noteworthy the minimum height of mandibular ramus,height of mandibular ramus,height of coronoid process and minimum breadth of mandibular ramus demonstrate significant sexual dimorphism(SDI≥10％).The mandibular size aligned with the variation range of modern and contemporary Asian populations,with the cluster analysis indicating an affiliation with Northern Mongoloids.But the Beijing population was far away from other Northern populations in China.The mandibular size was more gracile compared to ancient populations in Northern China,whereas the height of mandibular ramus was greater than those of the latter.Conclusion This study provides valuable insights into the physical characteristics of modern populations in Beijing region.