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.

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.

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.

Objective To investigate the size variation in the first metatarsal of extant primates.Methods In this study,we analyzed 135 first metatarsal specimens across 12 primate genera,quantifying eight linear measurements,articular surface areas,mid-shaft cross-sectional area,total surface area,volume,and derived indices.Multivariate patterns were assessed through mean-based correspondence analysis and principal component analysis(PCA).Results Eulemur,Otolemur,Cebus,and Perodicticus exhibited a relatively high metatarsal surface-area-to-volume ratio.Perodicticus additionally showed a low articular facet index.Propithecus,Colobus,and Macaca displayed lower values for metatarsal shaft robusticity,the ratio of shaft cross-sectional area to base articular surface area,and the proximal articular facet index.Nasalis possessed a relatively high articular facet index.Pongo,Pan,Gorilla,and Homo sapiens were characterized by higher metatarsal shaft robusticity and a lower metatarsal surface-area-to-volume ratio.Principal component analysis revealed that the 12 extant primate genera could be broadly divided into two groups.Group 1 comprised Pongo,Pan,Gorilla and H.sapiens,although H.sapiens formed a distinct cluster relative to the extant great apes.Group 2 included Eulemur,Otolemur,Perodicticus,Propithecus,Cebus,Colobus,Macaca and Nasalis.Conclusion The relative sizedistribution of the first metatarsal provides some reference value for classifying extant primates.However,it demonstrates no clear correlations with specific locomotor patterns or foot grasping ability.

Objective To investigate the predictive value of pan-immune inflammatory values(PIV)in the prognosis of patients with ischemic stroke(AIS)treated with intravascular intervention combined with tirofiban.Methods 102 AIS cases admitted to the Department of Neurology of the First People's Hospital of Zhaotong from January 2019 to December 2023 and treated with intravascular intervention combined with Tirofiban were selected as the study objects.The patients were divided into the mild group(n=9),moderate group(n=45)and severe group(n=48)according to the score of NIHSS after the admission.According to the mRS 90 days after the treatment,the cases were divided into the good prognosis group(n=63)and poor prognosis group(n=38).Data were collected and analyzed.The predictive value of PIV level in patients with ischemic stroke treated with intravascular intervention combined with tirofiban was evaluated by ROC.The risk factors of adverse outcomes in patients with ischemic stroke treated with intravascular intervention combined with tirofiban were investigated by multivariate Logistic regression.Results A total of 102 patients with ischemic stroke were included.The PIV level in the good prognosis group 331.1(221.9,662.7)was lower than that in the poor prognosis group 1 025.7(451.5,1 841.3)(P<0.05).PIV level in the severe group was higher than that in the mild and moderate groups,and PIV level in the moderate group was higher than that in the mild group(P<0.05).The AUC(95％CI)of PIV for predicting adverse outcomes of intravascular intervention combined with tirofiban in patients with ischemic stroke was 0.750(95％CI 0.654～0.831),the cut-off point was 834.92,the specificity was 85.71％and the sensitivity was 65.79％.NIHSS score>18(OR=5.944 95％CI 2.011～19.137),PIV>834.92(OR=4.863,95％CI 1.410～18.685)were the risk factors for the poor outcome of intravascular intervention combined with tirofiban in patients with ischemic stroke(P<0.05).Conclusion Elevated PIV is closely related to the poor outcomes in patients with ischemic stroke treated with intravascular intervention combined with Tirofiban.High PIV and NIHSS scores are both risk factors for the poor prognosis in patients with ischemic stroke,and can be used as the sensitive indicators for the early identification.

Objective To explore the deeper understanding of the pregnancy and delivery experience of three-child pregnant and matemal women,and to provide a basis for healthcare personnel to provide more systematic,safe,and targeted perinatal healthcare services and care measures for three-child pregnant and matemal women.Methods Purposive sampling method was used to select 17 cases of three-child pregnant and matemal women who were admitted and delivered in a tertiary level-A matemal and child healthcare hospital in Nanjing from August 2022 to June 2023 for semi-structured interviews,and Colaizzi 7-step process of analyzing,summarizing,and refining the themes was used.Results A total of 4 themes were extracted,including determination of willingness to become pregnant,perceived risks of childbirth,perceived benefits to themselves and their families,diversified support needs.Conclusion The establishment of pregnancy intention of three-child pregnant women is affected by many factors.Relevant departments should actively implement the supporting measures of the three-child birth policy;healthcare workers should strengthen perinatal healthcare services for three-child mothers to reduce the risk of giving birth,actively strengthen their sense of benefits related to pregnancy,and establish a whole process of support system to promote the health of mothers and infants.

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.