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.

OBJECTIVE To investigate the effects of galangin on rheumatoid arthritis （RA） in rats by regulating the Janus kinase 3 （JAK3）/signal transducer and activator of transcription 3 （STAT3） pathway. METHODS Fifty male SD rats were taken， and an emulsion composed of bovine type Ⅱ collagen and Freund’s complete adjuvant was injected subcutaneously to establish an induced arthritis model. The rats that were successfully modeled were randomly divided into model group， low， medium and high dose groups of galangin （1， 5， 15 mg/kg）， and methotrexate group （positive control， 2 mg/kg）， with 10 rats in each group. Another 10 normal rats were taken as the normal group. Starting from the 15th day of modeling， each group of rats was gavaged with the corresponding drug solution or normal saline containing 0.5% Tween 80 once a day for 28 consecutive days. The arthritis index （AI） scores and paw volume of rats were compared before and after gavage administration. Twenty-four hours after the last administration， the serum levels of interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α）， IL-4 and IL-10 were determined， the pathological changes in ankle joint synovial tissue were observed， and the protein expressions of UNC-51 like kinase 1 （ULK1）， Beclin-1， microtubule-associated protein 1 light chain 3 （LC3）， B cell lymphoma 2 （Bcl-2）， Bcl-2-associated X protein （Bax）， caspase-3， JAK3， phosphorylated JAK3 （p-JAK3）， STAT3 and phosphorylated STAT3 （p-STAT3） in the synovial tissue of the ankle joint were detected， as well as the fluorescence intensity of LC3-positive areas. RESULTS Compared with the model group， the pathological changes such as cellular proliferation of ankle joint synovial tissue and infiltration of inflammatory cells in rats of each administration group showed improvement. Moreover， their AI scores and paw pad volumes （on day 28 after gavage）， the levels of IL-6 and TNF-α， the protein expression of Bcl-2， and the phosphorylation levels of JAK3 and STAT3 were all significantly reduced （ P ＜0.05）. The levels of IL-4 and IL-10， the protein expressions of ULK1， Beclin-1， Bax， caspase-3 and LC3， as well as the fluorescence intensity of LC3-positive areas， were all significantly increased （ P ＜0.05）. Moreover， the effect of galangin was in a dose-dependent manner （ P ＜0.05）. CONCLUSIONS Galangin can induce sustained autophagy in synovial tissue cells of RA rats， promote cell apoptosis， inhibit synovial cell proliferation， and alleviate persistent inflammatory responses. The above anti-RA effects may be related to the inhibition of the JAK3/STAT3 pathway.

ObjectiveTo investigate the mechanisms by which Jianpi Yangzheng Xiaozheng prescription （JPYZXZ） treats poorly cohesive gastric carcinoma （PC-GC） through regulation of ubiquitin-specific peptidase 51 （USP51）. MethodsIn vitro experiments： Cell viability and proliferation of PC-GC cell lines （MKN-45 and HGC-27） treated with different concentrations of JPYZXZ （2， 4， 6 g·L^-1） were assessed using Cell Counting Kit-8 （CCK-8） and colony formation assays. Cell migration was evaluated by wound healing （scratch） and Transwell assays. The mRNA and protein expression levels of USP51， zinc finger E-box-binding homeobox 1 （ZEB1）， and epithelial-mesenchymal transition （EMT）-related markers （e.g.， E-cadherin） were detected by quantitative real-time PCR （Real-time PCR） and Western blot， respectively. Subsequently， stable MKN-45 and HGC-27 cell lines with USP51 knockdown （sh-USP51） and overexpression （oe-USP51） were constructed. Their migration ability and EMT-related protein expression were further evaluated by scratch assay， Transwell assay， and Western blot. In vivo experiments： A subcutaneous xenograft model of MKN-45 human gastric cancer was established in BALB/c nude mice. Thirty mice were randomly divided into six groups （NC， NC + JPYZXZ， sh-USP51， sh-USP51 + JPYZXZ， oe-USP51， and oe-USP51 + JPYZXZ）， with five mice in each group. After successful modeling， mice in the treatment groups were administered JPYZXZ （30 g·kg^-1） by gavage for 28 days. Body weight and tumor volume were monitored during the experiment. The expression levels of USP51 and EMT-related proteins in tumor tissues were detected by Western blot and immunohistochemistry （IHC）. ResultsCompared with the blank group， the colony formation rate， wound healing rate， and number of migrated cells in MKN-45 and HGC-27 cells were significantly reduced in all JPYZXZ groups and the 5-fluorouracil （5-FU） group （P<0.05）. The mRNA and protein expression levels of USP51 were decreased （P<0.05）. The expression of ZEB1 and mesenchymal phenotype proteins （e.g.， N-cadherin and vimentin） was reduced （P<0.05）， whereas the expression of the epithelial marker E-cadherin was increased （P<0.05）. Compared with the control group， USP51 expression was decreased in the sh-USP51 group and increased in the oe-USP51 group （P<0.05）. Compared with the NC group， USP51 knockdown significantly reduced the migration and proliferation of gastric cancer cells （P<0.01）， decreased the expression of ZEB1 and EMT-related proteins， and increased E-cadherin expression （P<0.05）. In vivo results showed that JPYZXZ significantly inhibited the growth of xenograft tumors in nude mice （P<0.05） and markedly reversed the abnormal expression of EMT-related proteins in tumor tissues （P<0.05）. ConclusionThe therapeutic mechanisms of JPYZXZ in PC-GC may be associated with inhibition of the EMT process via regulation of the USP51-ZEB1 signaling pathway.

Lung cancer constitutes the most prevalent and lethal malignant tumor in China. Approximately 85% of lung cancer diagnoses correspond to the non-small cell histological subtype [non-small cell lung cancer (NSCLC)]. Despite surgery being the mainstay for early-stage disease, postoperative recurrence remains high and adjuvant chemotherapy offers limited benefit. In recent years, targeted therapy has demonstrated substantial advantages in driver mutation-positive NSCLC. To this end, the Lung Cancer Medical Education Committee of the Chinese Medical Education Association developed guidelines based on a systematic review of evidence through November 2025, using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach and a modified Delphi method. Focusing on epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK), and addressing ROS proto-oncogene 1 (ROS1), B-Raf proto-oncogene serine/threonine kinase (BRAF) V600E mutation, and mesenchymal-epithelial transition factor (MET) exon 14 (METex14) skipping, the guideline covers molecular testing, neoadjuvant/adjuvant therapy, perioperative strategies, minimal residual disease monitoring, and postoperative surveillance. It defines testing requirements, specifies stage-directed and subtype-specific treatments, and standardizes minimal residual disease monitoring. These recommendations emphasize precision and feasibility to improve survival and quality of life.

Objective To investigate the effect and mechanism of dexmedetomidine(Dex)pretreated pericytes(Dex-PCs)on acute lung injury(ALI)in septic mice.Methods Mouse model of sepsis-ALI was established with intraperitoneal injection of lipopolysaccharide(LPS)at a dose of 10 mg/kg.A total of 96 C57BL/6J mice were randomly divided into sham operation(Sham)group,ALI group,PC treatment group and Dex-PCs treatment group.The mice of the PCs and Dex-PCs groups received a tail venous injection of 5×105 PC cells,respectively,whereas those of the Sham and ALI groups received equal volume of normal saline.Flow cytometry,immunofluorescence assay,whole-body volume tracing system and ELISA were used to observe the changes in the colonization of PCs,pulmonary vascular permeability,lung function,serum TNF-α and IL-6 levels,as well as the survival rate and survival time of mice at 72 h after LPS stimulation.After PCs and Dex-PCs were exposed to 10 μg/mL LPS,the level of intracellular reactive oxygen species(ROS)was measured.Results Compared with the Sham group,the ALI group had increased permeability of pulmonary vascular endothelial cells,extensive extravasation of Evans blue,severely destructed of lung tissue structure and massive inflammatory cell infiltration,higher lung wet/dry weight ratio,elevated serum TNF-α and IL-6 levels,and declined lung function,and no mice survived for 72 h after modeling(P＜0.05).Both PC cell treatment effectively alleviated the pulmonary vascular endothelial leakage,reduced Evans blue content per unit tissue,improved lung pathological structure,lung function and inflammatory responses,and significantly improved the survival rates in the PC group and the Dex-PC group(P＜0.05).What's more,the therapeutic effect of Dex-PC cells was significantly better than that of the PC cells(P＜0.05).LPS stimulation induced ROS accumulation greatly in PCs,but no such effect was observed in the PCs after Dex pretreatment(P＜0.05).Conclusion Dex pretreatment significantly enhances PCs'protective effect on pulmonary vascular endothelial barrier functions in septic mice,which may be due to its enhancing anti-oxidative capacity of PCs.

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.

Aim To explore the therapeutic effect and mechanism of Qingjie Huagong decoction in modulating PI3K/AKT/NF-κB signaling pathway in inflammatory response of acute pancreatitis(AP)mice.Methods Twenty-four mice were randomly divided into Blank group,Model group,Ustekin group,and Qingjie Hua-gong decoction group,with six mice in each group.The AP model was prepared by using rain frogin.Serum α-AMS,PNLP,IL-1β,IL-6,IL-8,IL-18,and TNF-α lev-els were detected by ELISA;the pancreatic pathology was detected by HE staining;the expressions of PI3K,AKT,and NF-κB-related proteins and mRNAs were de-tected by immunohistochemistry,Western blot,and RT-qPCR.Results Compared with the blank group,the model group showed obvious pathological damage to the pancreas,with significantly higher serum α-AMS,PN-LP,IL-1β,IL-6,IL-8,IL-18,and TNF-α levels(P＜0.01),and significantly higher levels of PI3K,AKT,and NF-κB-related proteins and mRNA expression(P＜0.01).Compared with the model group,both the Qingjie Huagong decoction group and the ustekin group improved the histopathological changes in the pancreas of AP mice,decreased the serum α-AMS,PNLP,IL-1β,IL-6,IL-8,IL-18,and TNF-α levels,and down-reg-ulated the expression levels of pancreatic PI3K,AKT,NF-κB-related proteins and mRNA(P＜0.05 or P＜0.01).Conclusion Qingjie Huagong decoction may inhibit the inflammatory response and protect pancreat-ic tissues by regulating the expression of PI3K/AKT/NF-κB signaling pathway.

With the increasing problem of an aging population,the incidence of osteoarticular diseases such as rheumatoid arthritis(RA),osteoarthritis(OA),ankylosing spondylitis(AS)and osteoporosis(OP)is gradually rising.Matrix metalloproteinase 3(MMP-3),as an important member of the matrix metalloproteinases(MMPs)family,plays a dual regulatory role.On one hand,it is involved in pathological processes such as cartilage damage and joint dysfunction,exerting a negative regulatory effect in the occurrence and progression of various osteoarticular diseases.On the other hand,MMP-3 has positive regulatory effects in early embryonic layer differentiation,craniofacial bone formation,neuronal axon regeneration,cartilage ossification,and adipocyte differentiation.This article reviewed the structure and function of MMP-3 as well as its negative regulatory roles in diseases such as in RA,OA,AS and OP,while exploring its positive regulatory roles in growth,development and wound healing.The article also analyzed the dual regulatory mechanisms of MMP-3 in bone and joint diseases,and summarized the research progress of MMP-3 inhibitors,in order to provide new ideas and insights for related clinical research.

Aim To explore the therapeutic effect and mechanism of Qingjie Huagong decoction in modulating PI3K/AKT/NF-κB signaling pathway in inflammatory response of acute pancreatitis(AP)mice.Methods Twenty-four mice were randomly divided into Blank group,Model group,Ustekin group,and Qingjie Hua-gong decoction group,with six mice in each group.The AP model was prepared by using rain frogin.Serum α-AMS,PNLP,IL-1β,IL-6,IL-8,IL-18,and TNF-α lev-els were detected by ELISA;the pancreatic pathology was detected by HE staining;the expressions of PI3K,AKT,and NF-κB-related proteins and mRNAs were de-tected by immunohistochemistry,Western blot,and RT-qPCR.Results Compared with the blank group,the model group showed obvious pathological damage to the pancreas,with significantly higher serum α-AMS,PN-LP,IL-1β,IL-6,IL-8,IL-18,and TNF-α levels(P＜0.01),and significantly higher levels of PI3K,AKT,and NF-κB-related proteins and mRNA expression(P＜0.01).Compared with the model group,both the Qingjie Huagong decoction group and the ustekin group improved the histopathological changes in the pancreas of AP mice,decreased the serum α-AMS,PNLP,IL-1β,IL-6,IL-8,IL-18,and TNF-α levels,and down-reg-ulated the expression levels of pancreatic PI3K,AKT,NF-κB-related proteins and mRNA(P＜0.05 or P＜0.01).Conclusion Qingjie Huagong decoction may inhibit the inflammatory response and protect pancreat-ic tissues by regulating the expression of PI3K/AKT/NF-κB signaling pathway.

Objective To evaluate the diagnostic performance of the minimum-cost-path-based CT angiography-derived fractional flow reserve(MCP-FFR)and the deep learning-driven CT angiography-derived fractional flow reserve(DeepCL-FFR),and to particularly explore the potential value of the DeepCL algorithm in improving diagnostic accuracy within the"gray zone."Methods A retrospective analysis was conducted on 151 coronary vessels from 109 patients with coronary artery disease,who were hospitalized at the General Hospital of the People's Liberation Army between January 2020 and June 2021.Pearson correlation and Bland-Altman plots were employed to assess the correlation and agreement of the two CT-FFR methods with invasive FFR.A CT-FFR range of 0.70-0.80 was defined as the diagnostic"gray zone."The accuracy,sensitivity,specificity,positive predictive value,and negative predictive value for detecting hemodynamic abnormalities were calculated and analyzed.The DeLong test was used to compare the areas under the receiver operating characteristic curves(AUC)between the two CT-FFR calculation methods.Results Both CT-FFR methods exhibited a positive correlation with invasive FFR(MCP-FFR:r=0.75,P＜0.001;DeepCL-FFR:r=0.86,P＜0.001)and showed good agreement(MCP-FFR:mean difference=0.010,P=0.351;DeepCL-FFR:mean difference=-0.003,P=0.772).Both DeepCL-FFR(AUC 0.97,95％CI 0.94-0.99)and MCP-FFR(AUC 0.92,95％CI 0.88-0.97)demonstrated favorable diagnostic performance for detecting hemodynamic abnormalities(P=0.122).In the"gray zone"for hemodynamic abnormality,the diagnostic accuracy of MCP-FFR was 68.8％,whereas DeepCL-FFR increased it to 89.7％.DeepCL-FFR also exhibited superior diagnostic performance(AUC 0.89,95％CI 0.73-0.99)within the"gray zone,"which was significantly higher than that of MCP-FFR(AUC 0.71,95％CI 0.54-0.87)(P＜0.001).Conclusions The deep learning-driven coronary centerline extraction algorithm,DeepCL,demonstrates superior diagnostic performance in CT-FFR for detecting hemodynamic abnormalities,particularly by significantly improving diagnostic accuracy in the"gray zone."