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.

ObjectiveTo investigate the ameliorative effect of paeonol on acute alcohol-induced hepatic inflammation in mice via the regulation of the short-chain fatty acids （SCFAs）-specific receptor GPR43/mitogen-activated protein kinase （MAPK） signaling pathway. MethodsC57BL/6 mice were randomly divided into five groups： blank control group， model group， low-dose paeonol group （120 mg·kg^-1）， high-dose paeonol group （480 mg·kg^-1）， and silybin group （36.8 mg·kg^-1）. A mouse model of alcohol-induced liver disease （ALD） was established by ad libitum administration of a Lieber-DeCarli alcohol liquid diet. Serum lipid levels， liver function， inflammatory cytokines， and oxidative stress markers were measured. Liver hematoxylin-eosin （HE） staining and Oil Red O staining were performed to validate successful modeling. Western blot analysis was used to assess the expression levels of zonula occludens-1 （ZO-1）， Claudin-1， and proteins related to the GPR43/MAPK signaling pathway in the colonic tissue. Immunohistochemistry was employed to detect the protein expression of GPR43， ZO-1， and Claudin-1 in the colon. Then 16S rDNA sequencing was performed to analyze differences in intestinal flora between the model group and the high-dose paeonol group. Additionally， fecal microbiota transplantation （FMT） experiments were conducted to validate the regulatory effect of paeonol on ALD via modulation of intestinal flora. ResultsCompared with the blank control group， the model group showed significantly elevated serum lipid levels， oxidative stress， and inflammatory cytokine expression （P<0.01）. Liver histology revealed increased inflammatory infiltration and lipid droplet accumulation. Colonic mucosal injury and impaired intestinal barrier function were observed. Levels of MAPK pathway-related proteins in the colonic tissue were upregulated （P<0.01）， while GPR43， ZO-1， and Claudin-1 protein expression levels were significantly decreased （P<0.01）. The composition and abundance of the intestinal flora were markedly altered， with a reduced Bacteroidetes-to-Firmicutes ratio and decreased relative abundances of Eubacterium， Parabacteroides， Erysipelothrix， and Adlercreutzia， alongside increased abundances of Clostridium butyricum， Enterococcus， and Helicobacter pylori in the model group. Compared with the model group， paeonol significantly reduced serum lipid levels， oxidative stress responses， and the expression of inflammatory cytokines in ALD mice （P<0.05， P<0.01）. It also attenuated hepatic lipid accumulation， restored intestinal barrier function， and repaired the structural integrity of liver and colonic tissues. The protein expression levels of ZO-1， Claudin-1， and GPR43 in the colonic tissue were significantly increased （P<0.05， P<0.01）， while those of MAPK pathway-related proteins were significantly decreased （P<0.05， P<0.01）. The intestinal flora dysbiosis was effectively alleviated， rendering its composition closer to that of normal mice. The efficacy of paeonol in modulating ALD was further confirmed by FMT experiments， supporting its mechanistic involvement in the SCFAs-GPR43/MAPK signaling pathway. ConclusionPaeonol exerts a protective effect against ALD in mice， which may be mediated through regulation of the SCFAs-GPR43/MAPK signaling pathway， thereby achieving anti-inflammatory effects and improving intestinal barrier function.

ObjectiveTo investigate the ameliorative effect of paeonol on acute alcohol-induced hepatic inflammation in mice via the regulation of the short-chain fatty acids （SCFAs）-specific receptor GPR43/mitogen-activated protein kinase （MAPK） signaling pathway. MethodsC57BL/6 mice were randomly divided into five groups： blank control group， model group， low-dose paeonol group （120 mg·kg^-1）， high-dose paeonol group （480 mg·kg^-1）， and silybin group （36.8 mg·kg^-1）. A mouse model of alcohol-induced liver disease （ALD） was established by ad libitum administration of a Lieber-DeCarli alcohol liquid diet. Serum lipid levels， liver function， inflammatory cytokines， and oxidative stress markers were measured. Liver hematoxylin-eosin （HE） staining and Oil Red O staining were performed to validate successful modeling. Western blot analysis was used to assess the expression levels of zonula occludens-1 （ZO-1）， Claudin-1， and proteins related to the GPR43/MAPK signaling pathway in the colonic tissue. Immunohistochemistry was employed to detect the protein expression of GPR43， ZO-1， and Claudin-1 in the colon. Then 16S rDNA sequencing was performed to analyze differences in intestinal flora between the model group and the high-dose paeonol group. Additionally， fecal microbiota transplantation （FMT） experiments were conducted to validate the regulatory effect of paeonol on ALD via modulation of intestinal flora. ResultsCompared with the blank control group， the model group showed significantly elevated serum lipid levels， oxidative stress， and inflammatory cytokine expression （P<0.01）. Liver histology revealed increased inflammatory infiltration and lipid droplet accumulation. Colonic mucosal injury and impaired intestinal barrier function were observed. Levels of MAPK pathway-related proteins in the colonic tissue were upregulated （P<0.01）， while GPR43， ZO-1， and Claudin-1 protein expression levels were significantly decreased （P<0.01）. The composition and abundance of the intestinal flora were markedly altered， with a reduced Bacteroidetes-to-Firmicutes ratio and decreased relative abundances of Eubacterium， Parabacteroides， Erysipelothrix， and Adlercreutzia， alongside increased abundances of Clostridium butyricum， Enterococcus， and Helicobacter pylori in the model group. Compared with the model group， paeonol significantly reduced serum lipid levels， oxidative stress responses， and the expression of inflammatory cytokines in ALD mice （P<0.05， P<0.01）. It also attenuated hepatic lipid accumulation， restored intestinal barrier function， and repaired the structural integrity of liver and colonic tissues. The protein expression levels of ZO-1， Claudin-1， and GPR43 in the colonic tissue were significantly increased （P<0.05， P<0.01）， while those of MAPK pathway-related proteins were significantly decreased （P<0.05， P<0.01）. The intestinal flora dysbiosis was effectively alleviated， rendering its composition closer to that of normal mice. The efficacy of paeonol in modulating ALD was further confirmed by FMT experiments， supporting its mechanistic involvement in the SCFAs-GPR43/MAPK signaling pathway. ConclusionPaeonol exerts a protective effect against ALD in mice， which may be mediated through regulation of the SCFAs-GPR43/MAPK signaling pathway， thereby achieving anti-inflammatory effects and improving intestinal barrier function.

AIM: To explore the relationship between hyperopia reserve and ocular biometric parameters in 4-14 year-old Uyghur students from Hotan County, Xinjiang, and to provide scientific evidence for myopia prevention.METHODS: From September 1 to October 31, 2023, a stratified random cluster sampling method was used to select 3 264 students(3 264 eyes)from 6 schools in Hotan County. Participants underwent uncorrected distance visual acuity testing, cycloplegic refraction, and ocular biometric measurements. The correlation between spherical equivalent(SE)and ocular biometric parameters was analyzed by multiple linear regression.RESULTS: A total of 1 998 non-myopic students(1 998 eyes)were included in the study, with 1 354 students(67.77%)showing insufficient hyperopia reserve. The detection rate of insufficient hyperopia reserve decreased with age, from 94.12% at age 4 to 18.13% at age 14(P<0.001). Multiple linear regression analysis showed that in the group with sufficient hyperopia reserve, age, gender, uncorrected distance visual acuity, axial length(AL), and keratometry(K)explained 66.5% of the variance in SE; while in the group with insufficient hyperopia reserve, these factors explained only 28.0% of the SE variance.CONCLUSION: In non-myopic Uyghur students aged 4-14 in Hotan County, Xinjiang, the detection rate of insufficient hyperopia reserve was 67.77%. In the group with insufficient hyperopia reserve, age, gender, AL, and K explained only a small portion of the SE variance, suggesting that the refractive status of this population may be influenced by more complex factors.

Background Occupational disease diagnosis appraisal is an appeal procedure initiated when a party disagrees with the occupational disease diagnosis conclusion. It is a legal procedure to safeguard the health rights of employees and the legitimate rights and interests of employers. Objective To analyze the data of occupational disease diagnosis appraisal in Shanghai, identify existing problems, and provide suggestions for improving. Methods Statistical analysis was conducted on basic situation, characteristics of workers and employers, disease classification, and consistency between diagnosis and appraisal conclusions of all occupational disease diagnosis appraisal cases from 2012 to 2024. All diagnosis conclusions were named in accordance with the Classified Catalogue of Occupational Diseases included employers were classified according to the Measures for the Statistical Classification of Large, Medium, Small and Micro Enterprises" and the Notice on Adjusting the Provisions for Classifying Enterprise Registration Types; industry classification followed the Industrial Classification for National Economic Activities (GB/T 4754-2017). Results From 2012 to 2024, a total of 260 cases of occupational diseases diagnosis appraisal were closed. The main diagnosis were 138 cases of ear, nose, throat, and oral diseases (53.1%), chemical poisoning (18.8%), and pneumoconiosis and other respiratory diseases (16.2%). The proportion of ear, nose, throat, and oral diseases gradually increased (2022 excluded). The incidence of annual municipal and provincial cases decreased by 76.3% and 85.0% respectively (2024 vs 2012). The consistency rate of conclusions between appraisal and diagnosis gradually increased. The total consistency rates between final appraisals and diagnostic conclusions were 81.5%, and 79.7%, 87.8%, 100.0%, 85.0% for ear, nose, throat, and oral diseases, chemical poisoning, and pneumoconiosis and other respiratory system diseases, respectively. Specifically, the consistency rates were 80.1% and 80.0% for noise-induced deafness and chronic benzene poisoning. In terms of inconsistency reasons, "inconsistent interpretation of standards and excessive discretion in standard application" accounted for 43.8%, followed by "failure to correctly apply standards" (31.3%) and and "discrepancies in occupational exposure history recognition" (15.6%). Conclusion The revisions and improvements of the legal system for occupational disease diagnosis appraisal have played a positive role in improving the consistency of conclusions between appraisal and diagnosis of occupational diseases in Shanghai. It is suggested to further strengthening the publicity and training of occupational disease diagnosis standards to improve the quality of occupational disease diagnosis.