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.

ObjectiveMigraine is a leading neurological disorder and the fourth most common cause of years lived with disability worldwide, affecting nearly 116 million individuals. Although pharmacological treatments are available, their efficacy is often limited by side effects and variable response rates. Repetitive transcranial magnetic stimulation (rTMS) over the dorsolateral prefrontal cortex (DLPFC) offers a safe, non-invasive alternative for migraine management. However, the neurophysiological mechanisms, particularly how rTMS modulates local cortical excitability and distributed pain-related circuits, remain poorly understood. Elucidating these mechanisms is essential for optimizing treatment protocols and improving clinical outcomes. MethodsThis study employed concurrent transcranial magnetic stimulation and electroencephalography (TMS-EEG) to investigate neuroplastic and neurocircuitry mechanisms of DLPFC-rTMS in migraine. Study 1 compared 30 migraineurs and 28 healthy controls to identify abnormalities in TMS-evoked potentials (TEPs) and significant current density (SCD) within sensory-discriminative regions including the primary somatosensory cortex (S1) and posterior insula (pINS), cognitive-affective regions including the anterior insula (aINS) and midcingulate cortex (MCC), and a descending modulatory region, the periaqueductal gray (PAG). Study 2 used a single-blind, crossover, sham-controlled design in 34 healthy participants. Each participant received both active (10 Hz, 80% RMT, 1 500 pulses) and sham DLPFC-rTMS in counterbalanced order. TMS-EEG and cold pain tolerance were assessed before and after each session. ResultsIn Study 1, migraineurs showed a significantly less negative N120 amplitude compared to healthy controls (P=0.027, Cohen’s d=0.60), indicating local intracortical disinhibition. No group differences were observed for N40, P60, or P180 components. At the source level, migraineurs exhibited significantly higher SCD in the S1, pINS, aINS, and MCC (allQ<0.05), but not in the ventroposterior thalamus (vpTHAL), mediodorsal thalamus (mdTHAL), or PAG. In Study 2, active rTMS significantly reduced SCD from pre- to post-stimulation in the S1, aINS, and MCC (all Q<0.05). Sham stimulation also reduced SCD in the S1 (Q<0.05) but not in the aINS or MCC. Although no significant group-level analgesic effect was observed between active and sham conditions (P=0.107), correlation analyses revealed that greater SCD reductions in the S1 and MCC were significantly associated with higher post-rTMS pain tolerance (R=-0.487 and -0.495, both Q<0.01) and larger improvements in pain tolerance(R=-0.487 and -0.451, both Q<0.05). No such correlations were found following sham stimulation, suggesting that the behavioural relevance of neural changes is specific to active rTMS. ConclusionThis study provides novel evidence that migraineurs exhibit both local neuroplastic abnormalities (reduced N120 amplitude) and hyperactivity in key pain-processing regions (S1, pINS, aINS, MCC). A single session of DLPFC-rTMS reduced hyperactivity in the aINS, MCC, and S1. Notably, greater reductions in the S1 and MCC were associated with improved pain tolerance. These findings identify distinct cortical circuitries, particularly within the cognitive-affective pain network, that may serve as potential biomarkers for optimizing rTMS treatment in migraine and other chronic pain conditions. Future studies should validate these results in patient populations experiencing spontaneous migraine attacks and explore multi-session or accelerated rTMS protocols.

Objective To investigate the prevalence of pinworm infections among kindergarten children and the effectiveness of health interventions among teachers and parents in Gaoyou City, so as to provide insights into optimization of enterobiasis control strategies. Methods From September to November each year from 2023 to 2025, Gaoyou City’s 57 kindergartens were divided into five zones based on the five cardinal directions: east, west, south, north, and center. At least one kindergarten was randomly selected as a survey site in each zone, with a minimum of 200 children surveyed per site. The transparent adhesive tape anal swab method was used to detect pinworm infection in the surveyed children, while the transparent adhesive tape sticking method was employed to assess pinworm egg contamination in the children’s home and classroom environments. Concurrently, health education interventions were conducted for kindergarten teachers and parents. Additionally, self-administered questionnaires were administered to teachers and parents to evaluate children’s hygiene behaviors and the awareness rates of pinworm prevention knowledge among teachers and parents before and after the health education interventions. Results From 2023 to 2025, a total of 1 939 children from nine kindergartens in Gaoyou City were tested for pinworm infection, with two cases detected, resulting in an overall infection rate of 0.10% (2/1 939). No pinworm eggs were found in the samples from the children’s families or classroom environments. In public kindergartens, the proportions of children practicing the four hygiene habits, namely “handwashing after defecation” [96.10% (1 305/1 358) vs. 74.65% (212/284); χ² = 153.646, P < 0.05], “regular nail trimming” [92.93% (1 262/1 358) vs. 77.82% (221/284); χ² = 61.349, P < 0.05], “not biting toys or pencils” [88.14% (1 197/1 358) vs. 76.76% (218/284); χ² = 25.549, P < 0.05], and “showering twice or more per week” [89.03% (1 209/1 358) vs. 74.65% (212/284); χ² = 41.699, P < 0.05], were all higher than those in private kindergartens. Before health education intervention, the awareness rates of pinworm prevention knowledge among teachers in public and private kindergartens were 86.89% (53/61) and 75.00% (21/28), respectively, with no statistically significant difference (χ² = 1.935, P > 0.05). The awareness rates among parents of children in public and private kindergartens were 64.73% (879/1 358) and 57.39% (163/284), respectively, showing a statistically significant difference (χ² = 5.447, P < 0.05). After the intervention, the awareness rates among teachers in public and private kindergartens increased to 96.72% (59/61) and 82.14% (23/28), respectively, while those among parents rose to 88.95% (1 208/1 358) and 77.81% (221/284), both with statistically significant differences (χ² = 5.628 and 25.808, both P < 0.05). Among the questionnaire items, teachers [32.58% (29/89)] and parents [26.00% (427/1 642)] had the lowest overall awareness rate regarding the “main reasons for the difficulty in preventing and controlling pinworm disease”. After the intervention, these rates increased to 77.53% (69/89) and 70.77% (1 162/1 642), respectively. Conclusions The prevalence of pinworm infection in kindergarten children in Gaoyou City is at a low level. Health intervention can effectively improve the knowledge level of teachers and parents on the prevention and treatment of pinworm disease, but further efforts are needed to strengthen the health education and management of pinworm disease in private kindergartens.

Background Patients with pneumoconiosis often have limited disease-related knowledge, insufficient access to health education, and substantial health management needs. Health education may help improve rehabilitation outcomes and quality of life in this population. Objective To evaluate the effects of health education based on the Listen-Establish-Adopt-Reinforce-Name-Strength (LEARNS) model on rehabilitation outcomes, health-related behaviors, and quality of life among pneumoconiosis patients, and provide effective intervention strategies for the rehabilitation management of patients with pneumoconiosis. Methods A randomized controlled trial was conducted. A total of 120 pneumoconiosis patients treated in the Department of Occupational Diseases, Beijing Emergency General Hospital, from November 2024 to February 2025 were enrolled. Participants were randomly assigned to a control group or an intervention group using a random number table method, with 60 patients in each group. The control group received routine pharmacotherapy, whereas the intervention group received a 12-week LEARNS model-based health-education intervention in addition to routine treatment. The 6-Minute Walk Test (6MWT) was used to assess exercise tolerance, and the modified Medical Research Council dyspnoea scale (mMRC) was used to evaluate dyspnoea. The Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS) were applied for psychological status assessment. Pulmonary function, including forced expiratory volume in one second (FEV₁) and forced vital capacity (FVC), was measured using spirometry. A self-designed scale was used to evaluate eight health-related behaviors targeted by the health education program. The 36-Item Short-Form Health Survey (SF-36) and Chronic Obstructive Pulmonary Disease (COPD) Assessment Test (CAT) were used to assess quality of life, and the Pittsburgh Sleep Quality Index (PSQI) was adopted to evaluate sleep quality. Results After the 12-week intervention, the control group showed no statistically significant changes from baseline in the measured outcomes(P＞0.05). In the intervention group, exercise tolerance improved significantly, with the 6-minute walking distance increasing from (382.55±19.52) m to (426.84±33.59) m (P＜0.001). Dyspnoea was also alleviated, with the mMRC score decreasing from 1.37±0.66 to 0.96±0.54 (P＜0.001). The CAT score decreased from 18.95±7.03 to 10.67±3.64 (P＜0.001). Significant improvements were observed in anxiety and depression symptoms (P＜0.001), with the SAS score decreasing from 38.85±6.24 to 34.27±2.27, and the SDS score decreasing from 49.01±3.25 to 45.49±3.44. Sleep quality improved significantly, with the PSQI score dropping from 7.89±4.35 to 4.05±2.31 (P＜0.001). All eight health-related behaviors in the intervention group improved significantly after the intervention (P＜0.001), including acquisition of disease-related knowledge (1.87±0.34 vs. 3.13±0.45), participation in health education activities (1.89±0.52 vs. 3.61±0.38), and regular physical exercise (2.37±0.41 vs. 4.17±0.33). All SF-36 domain scores increased significantly (P＜0.05), with the most prominent improvements observed in physical functioning, general health, and vitality. At week 12, all SF-36 domain scores were significantly higher in the intervention group than in the control group (P＜0.05). No statistically significant between-group differences were detected in pulmonary function parameters (P＞0.05). Conclusion LEARNS model-based health education could improve exercise tolerance, dyspnea, psychological status, sleep quality, health-related behaviors, and quality of life among patients with pneumoconiosis, and therefore may be a useful adjunctive strategy for rehabilitation management in patients with pneumoconiosis.

Objective To summarize the best evidence for the evaluation,implementation,and assess-ment of early rehabilitation exercise for patients with severe traumatic brain injury,provide evidence-based support for clinical nursing and reduce disability and mortality rates.Methods Relevant evidence on early re-habilitation exercise of patients with severe traumatic brain injury from 14 databases or official websites inclu-ding BMJ Best Practice,UpToDate,BMJ Clinical Evidence,the official website of the World Health Organiza-tion(WHO),International Guidelines Collaboration Network(GIN),National Guidelines Library(NGC)in the United States,Scottish Inter Collegiate Guidelines Network(SIGN),JBI Evidence Based Healthcare Knowledge Base,Cochrane Library,PubMed,Embase,Cumulative Index of Nursing and Allied Health Litera-ture(CINAHL),China National Knowledge Infrastructure(CNKI),and Wanfang were retrieved,the latest clinical decisions,guidelines,evidence summaries,expert consensus,systematic reviews,clinical practices,and review results were integrated,the best evidence were extracted,and quality evaluation and classification were conducted.Results A total of 15 articles were included,summarizing 26 best pieces of evidence from six as-pects:early rehabilitation exercise assessment,early awakening rehabilitation treatment therapy,early respira-tory and airway management,early limb activity and muscle joint rehabilitation training,early bladder function training,and early nutritional management.Conclusion This study integrates the best evidence of early reha-bilitation exercise for patients with severe traumatic brain injury,providing evidence-based support for further clinical nursing practice,promoting the rehabilitation process of patients with traumatic brain injury,and im-proving their quality of life.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

This study aims to describe the population and regional distribution characteristics of smoking behavior among adult twins in the China Twin Registry (CNTR), as well as the concordance rates for smoking behavior in monozygotic and dizygotic twins, and estimate the heritability. The study population included adult twins in CNTR who had smoking questionnaire data. A random-effects regression model was used to describe the distribution of smoking behavior among different subgroups based on various characteristics. The concordance of smoking behavior between different zygosity groups was calculated, and heritability was estimated. A total of 28 444 twin pairs were included in this study, with an average age of (36.6±12.0) years. Among male twins, 41.2% were current smokers, while only 1.2% of females smoked. Higher smoking rates were observed among male smokers in the 50-59 age group ( z=23.0, P<0.001), northern regions ( z=2.9, P<0.01), rural areas ( z=-5.2, P<0.001), those who were divorced/widowed ( z=3.8, P<0.001), and first-born twins ( z=-4.3, P<0.001), while lower smoking rates were found in those with higher education ( z=-16.1, P<0.001) and unmarried individuals ( z=-16.0, P<0.001). The smoking concordance rate for male monozygotic twins was 69.6%, significantly higher than the 57.3% concordance rate for dizygotic twins ( χ 2=105.0, P<0.05). The heritability of smoking behavior in male twins was estimated at 28.9% (95% CI: 24.3%-33.4%). Stratified analyses showed differences in heritability across regions and age groups: the heritability in northern regions was 32.6% (95% CI: 27.3%-38.0%), higher than the 21.0% (95% CI: 12.4%-29.5%) observed in southern regions; the highest heritability of 35.1% (95% CI: 26.3%-43.9%) was found in the 18-29 age group, with heritability decreasing with age. In conclusion, the smoking rate and influencing factors in the twin population are similar to those in the general population, with unique characteristics, such as higher smoking rates in first-born twins. Genetic factors have a significant impact on smoking behavior.

Objective To explore the coupling mechanism between medical surge response resources and the spread of secondary risks during public health emergencies,as well as the effectiveness of relevant interventions.Methods Based on complex network theory,a dual-layer network model of medical resources and secondary events was constructed.The interactive feedback between medical resource status and secondary event risk,as well as the effects of network structure,were analyzed through MATLAB simulations,REPAST agent-based modeling,and mean-field analysis.Results Simulation and prediction results show that an increase in first-layer resource-deficient nodes significantly raises the activation rate and transmission speed of secondary events,while the clustering and spread of secondary events in the second layer,in turn,intensify resource depletion,creating a negative feedback loop.Mean-field analysis indicates a nonlinear positive correlation between the adequacy of medical resources and the likelihood of secondary events.Network structure analysis reveals that when the average node degree exceeds 8,resource allocation efficiency improves markedly.Conclusion There exists a dynamic coupling and bidirectional feedback relationship between medical resource status and secondary event risks.Enhancing the flexible allocation and responsiveness of medical resources,improving multi-sectoral collaborative monitoring and coordinated regulation,optimizing network connectivity and coordination mechanisms for resource distribution,and establishing dynamic monitoring and tiered early warning systems are key strategies for strengthening the resilience of healthcare systems and effectively containing the spread of secondary events.

Objective To empirically analyze multiple pathways for enhancing medical surge response capacity and provide useful references for improving the resilience of health systems.Methods A comprehensive theoretical analysis framework for improving medical surge response capacity was constructed based on the 4S theory and collaborative governance theory.68 interview texts on medical surge response capacity conducted in July 2024 were selected as analysis samples.Using fuzzy-set Qualitative Comparative Analysis(fsQCA),7 conditional variables were selected from four dimensions:management system,information system,materials,and personnel to analyze their impact on medical surge response capacity.Results(1)A single conditional variable does not constitute a necessary condition for improving medical surge response capacity;(2)After the combination of conditions,8 specific configuration paths for capacity improvement were identified.Through systematic and comprehensive refinement,they were summarized into three modes of comprehensive configuration capacity improvement paths,namely:rapid response and collaborative operation mode,information empowerment and precise response mode,and resource conditions and resilience construction mode.Conclusion It is necessary to explore and construct systematic,combined,modularized and path-oriented capacity building strategies,refine the operational implementation paths for improving China's medical surge response capacity,target the linkage and configuration modes of different conditional variables,promote the formulation and implementation of modular construction schemes oriented by key capacity,and make efforts from multiple aspects to enhance the resilience of the health system.

The Janus kinase/signal transducers and activators of transcription (JAK-STAT) control natural killer (NK) cells development and cytotoxic functions, however, whether long non-coding RNAs (lncRNAs) are involved in this pathway remains unknown. We found that miR155HG was elevated in activated NK cells and promoted their proliferation and effector functions in both NK92 and induced-pluripotent stem cells (iPSCs)-derived NK (iPSC-NK) cells, without reliance on its derived miR-155 and micropeptide P155. Mechanistically, miR155HG bound to miR-6756 and relieved its repression of JAK3 expression, thereby promoting the JAK-STAT pathway and enhancing NK cell proliferation and function. Further investigations disclosed that upon cytokine stimulation, STAT3 directly interacts with miR155HG promoter and induces miR155HG transcription. Collectively, we identify a miR155HG-mediated positive feedback loop of the JAK-STAT signaling. Our study will also provide a power target regarding miR155HG for improving NK cell generation and effector function in the field of NK cell adoptive transfer therapy against cancer, especially iPSC-derived NK cells.