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 gain insights into the biological characteristics of different populations of Culex tritaeniorhynchus within and around the Yellow Sea wetland from the perspective of the occurrence of resistance, we investigated the levels of resistance to deltamethrin and kdr gene mutation in the wetland and its peripheral areas. Methods Specimens were collected from Cx. tritaeniorhynchus populations at two monitoring sites in the Rare Bird National Nature Reserve and Tiaozi Ni Wetland Scenic Area, and also from two populations in Yancheng City and the Liuhe District of Nanjing, and the resistance of these mosquitoes to deltamethrin was determined using the CDC biotest bottle method. For each concentration of deltamethrin assessed, a random subset of exposed specimens was selected for amplification of the kdr gene fragment, followed by Sanger sequencing to identify and analyze resistance-associated mutations. Results The LC50 levels of deltamethrin among mosquitoes from the four populations in Luhe, Yancheng, the Rare Bird National Nature Reserve and the Tiaozi Ni Wetland Scenic Area were 2.048 5, 7.798 2, 3.473 3, and 17.695 5 mg/mL, respectively, with corresponding concentrations of deltamethrin ranging from 0.005 to 5.000,0.050 to 50.000,0.050 to 25.000 and 0.050 to 50.000 mg/mL, respectively. Furthermore, the ranges of the KT50 values were 11.76-107.43, 67.05-216.30,29.77-107.43 and 28.40-329.51 min; the 1-h knockdown rates were 34.58%-99.15%, 9.52%-43.80%, 55.09%-73.01%, and 10.09%-68.07%; and the 24-h mortality rates were 12.15%-67.52%,9.52%-79.56%,13.17%-82.21%, and 11.01%-78.99%, respectively. With respect to kdr gene mutation, we assayed a total of 63,70,59, and 57 mosquitoes for the four populations, for which we detected L1014F mutation frequencies of 14.29%, 35.00%, 20.34%, and 31.58%, respectively, with a majority of these mutations being heterozygous for resistance. In addition, five adult mosquitoes were identified has having synonymous mutations at site 1011[i. e. , AAT(asparagine)mutation to AAC(asparagine)]. Conclusions Our findings revealed the clear resistance of Cx. tritaeniorhynchus to deltamethrin in the Yancheng region of the Yellow Sea wetland, and the resistance phenotype and kdr frequency of Cx. tritaeniorhynchus in the wetland environment were comparable to those of Cx. tritaeniorhynchus in the wetland environment, thereby indicating that the resistance of different populations of Cx. tritaeniorhynchus was homogeneous under the pressure of different insecticide selection within and around the wetland. However, the underlying mechanisms need to be further studied.

ObjectiveTo establish an objective evaluation system based on the quality characteristics of Gardeniae Fructus without relying on the origin label according to the theory of excellent shape， high quality， and superior effect of authentic medicinal materials， thus providing a scientific basis for the standardization of Gardeniae Fructus. MethodsDifferent batches of Gardeniae Fructus samples were collected from different producing areas. Through herbal textual research and a review of modern literature， fruit length， maximum fruit diameter， and chroma were selected as quantitative indicators to characterize the traditional appearance traits of Gardeniae Fructus. The above indicators were measured by a vernier caliper and a spectrophotometer. Through classical famous prescription data and literature analysis， total iridoid glycosides， total crocus glycosides， and total flavonoids were selected as the core component indicators related to efficacy， and their content was determined. Finally， through cluster analysis， the threshold ranges of the quantitative indicators of excellent shape and high quality were determined， and the applicability of the established evaluation system was verified by the determination of the indicators for each batch of medicinal materials. ResultsThe excellent shape indicators of Gardeniae Fructus were the fruit length-to-maximum fruit diameter ratio ≤1.86， 0°≤h≤45°， and L^*≥ 37.32. The content of total iridoid glycosides， total crocus glycosides， and total flavonoids should be no less than 2.2%， 0.44%， and 0.028%， respectively. The measurement results of different batches of Gardeniae Fructus showed that the evaluation system could effectively distinguish the Gardeniae Fructus samples in line with the traditional cognition of excellent shape and high quality. ConclusionThis study preliminarily constructs an excellent shape and high quality-based quality evaluation system for Gardeniae Fructus， which links appearance traits with chemical indicators and provides a methodological basis for the quality control and scientific grading of this herbal medicine.

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.

ObjectiveTo investigate the temporal trend of weight-adjusted-waist index （WWI） and its association with the risk of incident cardiovascular diseases （CVD） among middle-aged and older Chinese adults. MethodsBased on the China Health and Retirement Longitudinal Study （CHARLS）， this research enrolled participants aged 45 and above with complete physical measurement data from the 2011， 2013， and 2015 waves. Complex sampling weights were applied to calculate the mean WWI， and the Mann-Kendall test was used to analyze its trend. From the 2011 baseline survey， individuals with a history of cardiovascular disease or missing key covariates were further excluded. New-onset cardiovascular outcome events were collected during follow-up until 2020. Participants were categorized into Q1–Q4 groups based on baseline WWI quartiles. Multivariable log-binomial regression models were constructed to assess the association between WWI and CVD， while restricted cubic splines were employed to evaluate potential nonlinear relationships. Sensitivity analyses were conducted to verify the robustness of the findings. ResultsFrom 2011 to 2015， the weighted mean WWI among Chinese middle-aged and older adults remained generally stable （2011： 11.17±1.68； 2013： 11.28±1.35； 2015： 11.24±1.59； P for trend <0.05）. During the longitudinal follow-up， 1 784 incident CVD cases were documented. After multivariable adjustment， each unit increase in WWI was associated with a 17% increased risk of CVD （RR： 1.17， 95%CI： 1.10-1.24）. Compared with the Q1 group， the risk of CVD in the Q2， Q3， and Q4 groups increased by 23% （RR： 1.23， 95% CI： 1.07-1.40）， 27% （RR： 1.27， 95% CI： 1.11-1.44）， and 40% （RR： 1.40， 95% CI： 1.22-1.60）， respectively. A significant linear trend was observed between the increasing WWI and elevated CVD risk （P for trend <0.001）. Subgroup analysis revealed a stronger association in participants aged 45-60 years （P for interaction <0.05）. The results of sensitivity analysis were consistent with the main research results. ConclusionsThe overall trend of WWI level in the middle-aged and elderly population in China is stable from 2011 to 2015. The higher level of WWI is associated with an increased risk of CVD， suggesting that WWI may be used as a simple and effective indicator to evaluate the risk of cardiovascular metabolism in middle-aged and elderly people.

ObjectiveTo develop and evaluate an O-RADSbased multiparametric model integratingcontrast-enhanced US （CEUS） and the z-score standardized risk of ovarian malignancy algorithm （ROMA z-score） to improve the diagnostic accuracy for differentiating benign， borderline， and malignant ovarian epithelial tumors （OETs）. MethodsThis retrospective study included 129 patients with pathologically confirmed OETs between May 2018 and December 2024. Clinical variables （age， menopausal status， BMI， HE4， CA125） and sonographic features （conventional US and CEUS） were collected. Tumors were classified as benign， borderline， or malignant according to pathological findings. A random forest algorithm was used to contruct the predictive model. Receiver operating characteristic （ROC） curves were generated tocompare the diagnostic performance of O-RADS， O-RADS+CEUS， O-RADS+ROMA z-score， and O-RADS+ CEUS+ROMA z-score. ResultsAmong the 129 patients， 63 had benign tumors， 25 had borderline tumors， and 41 had malignant tumors. Compared with O-RADS alone， the combined O-RADS+CEUS+ROMA z-score model demonstrated superior diagnostic performance， with an AUC of 0.87 （95% CI： 0.79-0.95） vs. 0.64 （95% CI： 0.51-0.76）， P＜0.001， for differentiating benign from borderline tumors， and 0.90 （95% CI： 0.83-0.97） vs. 0.64 （95% CI： 0.50-0.78）， P＜0.001， for differentiating borderline from malignant tumors. The random forest analysis identified HE4， CA125 and CEUS features as the most important predictors，contributing 11.02， 8.82， 18.1 points， respectively， to the total importance score of 51.94. In the test cohort， the model achieved an overall diagnostic accuracy of 72.97%， with an AUC of 0.89（95%CI：0.77-1.00）， sensitivity of 67.06%， and specificity of 85.01%. ConclusionsO-RADS+CEUS+ROMA z-score multiparametric model demonstrated the highest diagnostic performance for in differentiating benign from borderline and borderline from malignant OETs. HE4， CA125 and CEUS features were identified as key predictive risk factors， supporting the role of this model in improving preoperative risk stratification of OETs.

ObjectiveTo enhance the genetic diagnostic yield for fetal short femur length （FL） and to evaluate the integration of whole exome sequencing （WES） with chromosomal abnormality detection in prenatal diagnosis. MethodsA total of 27 mid-to-late trimester fetuses diagnosed with short FL ［FL < 5th percentile for gestational age or < -2 SD （Standard Deviation）］ at the Prenatal Diagnosis And Medical Genetics Center，Shenshan Medical Center，Memorial Hospital of Sun Yat-Sen University between November 2023 and May 2025 were included. Amniotic fluid or umbilical cord blood samples were collected and subjected to chromosomal karyotyping （19cases）， chromosomal microarray analysis （CMA） or low-coverage whole genome copy number variation（CNV-Seq） （27 cases）， and trio-based whole exome sequencing （trio-WES） （27 cases）. The pathogenicity of genetic variants were interpreted according to the American College of Medical Genetics and Genomics （ACMG） guidelines. ResultsTwenty-six genomic variants were detected in 17 of the 26 fetuses， including numerical chromosomal abnormalities （mosaic type）， copy number variations （CNVs）， single nucleotide variants （SNVs） and insertions-deletions （INDELs）. Genomic variants detected in 11 cases could explain the short femur phenotype.The overall diagnostic rate was 11/27， with pathogenic/likely pathogenic variants explaining 9 cases and variants of uncertain significance （VUS） accounting for 1 cases. In addition Chromosomal karyotype analysis revealed chromosome mosaicism explaining 1 case. The diagnostic rate of CNV detection （CMA/CNV-seq） was 2/27， while WES achieved a diagnostic rate of 10/27， with an incremental yield of 8/27 in cases with negative or inconclusive CNV results. Pathogenic mutations involved genes such as FGFR3， SHOX， DUOX2， CLCN5， and HBA1/HBA2. ConclusionTrio-WES significantly improves the genetic diagnostic rate for fetal short femur length， particularly in cases where chromosomal analysis fails to identify a cause. Karyotyping remains valuable for detecting low-level mosaicism in large-scale chromosomal abnormalities， thereby complementing WES and CNV detection. A stepwise or parallel genetic testing strategy is recommended in prenatal diagnosis to optimize diagnostic efficiency and support clinical decision-making.

OBJECTIVE To provide a reference for the optimization of prescription-review software and the selection of auxiliary prescription-review tools for medical institutions.METHODS A total of 559 eligible prescriptions were collected from the Meikang Prescription Automatic Screening System of a tertiary grade-A hospital from January 2025 to March 2026. Judged according to the composite reference standard （CRS） established in this study， there were 206 positive prescriptions [with drug-drug interaction （DDI）] and 353 negative prescriptions （without DDI）. DeepSeek， Doubao， Wenxin yiyan， Kimi and Tongyi qianwen were separately adopted to identify DDI in the 559 prescriptions， and binary judgment was performed on their output texts related to DDI. Taking the results judged by CRS as the gold standard， the confusion matrix was constructed and model performance indicators were calculated. The differences in sensitivity between any two large language models were compared， the relative sensitivity （RS） and its 95% confidence interval （CI） were calculated， and the results were visualized by a forest plot.RESULTS Wenxin yiyan achieved the highest sensitivity （74.8%） with the lowest risk of missed reports， whereas its specificity was only 40.8%. It had the lowest accuracy （53.3%） and presented a high risk of false positive reports. Tongyi qianwen obtained the highest accuracy （65.3%） and the optimal F1-score （0.587）. DeepSeek showed moderate performance in both sensitivity and specificity. Doubao and Kimi exhibited relatively low sensitivity （38.8% and 45.1%， respectively）， accompanied by high risks of missed reports. Pairwise comparison revealed that the sensitivity of Wenxin yiyan was significantly higher than that of DeepSeek [ χ 2 ＝4.84， P ＝0.028； RS＝1.124， 95%CI （1.018， 1.230）]. The sensitivity of Tongyi qianwen was significantly higher than that of Doubao [ χ 2 ＝4.77， P ＝0.029； RS＝1.239， 95%CI （1.035， 1.443）]. DeepSeek had significantly higher sensitivity than Doubao [ χ 2 ＝37.65， P ＜0.001； RS＝1.715， 95%CI （1.491， 1.939）]. No statistically significant differences in sensitivity were observed between Kimi versus Doubao and between Tongyi qianwen versus Kimi （ P ＞0.05）.CONCLUSIONS Wenxin yiyan is applicable for preliminary-screening scenarios with low tolerance for missed reports and requires combined manual review. Tongyi qianwen is suitable for auxiliary outpatient prescription review. DeepSeek can act as a transitional solution for medical institutions without dedicated prescription-review software. Doubao and Kimi are not recommended for independent application in prescription DDI audit.

The recombinant human thyroid-stimulating hormone (rhTSH) can be used for differentiated thyroid cancer (DTC) preparation before ¹³¹I therapy, and follow-up. Since its approval by the American Food and Drug Administration (FDA) in 1998, rhTSH has been clinically used in European countries, the United States, and other countries for nearly 30 years. In April 2024, China’s first independently developed rhTSH agent was approved. Based on clinical experience and evidence from domestic and international studies, an expert consensus on the application of rhTSH has been developed following thorough consultations among experts. The consensus offers evidence-based recommendations to guide the appropriate use of rhTSH in clinical practice.

BACKGROUND:Nanocell vesicles possess functions such as re-epithelialization,antioxidation,anti-inflammation,and regulation of extracellular matrix remodeling.Meanwhile,apoptotic bodies have the immunomodulatory effects.Therefore,the combination of the two to form nanofusion vesicles can synergistically promote the healing of diabetic skin wounds.OBJECTIVE:To elucidate the impact of nanofusion vesicles on skin wound healing in a diabetic murine model.METHODS:(1)Material preparation and characterization:The primary bone marrow mesenchymal stem cells of C57BL/6J neonatal mice and the neutrophil apoptotic bodies of C57BL/6J mice were isolated and extracted.The nanofusion vesicles were prepared by micro-extrusion mechanism.(2)In vitro experiment:MTT assay was used to detect the proliferative effect of different concentrations of nanofusion vesicles on NIH-3T3 cells and human umbilical vein endothelial cells.Reactive oxygen species fluorescence probe was used to detect the antioxidant effect of nano-fusion vesicles on NIH-3T3 cells treated with hydrogen peroxide(H2O2).The inhibitory effect of nanofusion vesicles on RAW 264.7 macrophage inflammation induced by lipopolyside was detected by real-time quantitative RT-qPCR.(3)In vivo experiment:36 male C57BL/6J mice were employed to develop a murine model of diabetes mellitus.Following the successful induction of diabetes,two circular full-thickness wounds,each with a diameter of 6 mm,were created on either side of the diabetic mice's spine using a skin punch.The mice were divided into three groups by random number table method.The control group was injected with 0.1 mL of phosphate buffer solution.The nanovesicle group was injected with 0.1 mL nanovesicles(25 μg/mL).The nanofusion vesicle group was injected with 0.1 mL nanofusion(25 μg/mL)vesicles.After treatment for three consecutive days,the wound healing and histomorphological changes were observed.RESULTS AND CONCLUSION:(1)In vitro experiment:nanofusion vesicles,when administered at concentrations ranging from 0 to 100 μg/mL,exhibited no toxic effects and promoted the proliferation of NIH-3T3 and HUVEC cell lines.Notably,a concentration of 25 μg/mL nanofusion vesicle significantly enhanced the proliferation of NIH-3T3 cells.Furthermore,the survival rate of human umbilical vein endothelial cells was observed to increase in correlation with escalating concentrations of nanofusion vesicles.Nanofusion vesicles had a good antioxidant effect.In comparison to the H2O2 group,the fluorescence signal indicative of reactive oxygen species was progressively diminished in both the nanovesicle group and the nanofusion vesicle group.Furthermore,nanofusion vesicles possessed anti-inflammatory capabilities,effectively mitigating the inflammatory response in macrophages triggered by lipopolysaccharide stimulation.(2)In vivo experiment:Hematoxylin-eosin and Masson's trichrome staining revealed that in comparison to the control group,both the nanovesicle group and the nanofusion vesicle group exhibited a significant increase in granulation tissue formation and collagen fiber deposition within the wounds by day 6.Notably,the nanofusion vesicle group displayed the most pronounced effects.On day 12,the wound of nanofusion vesicle group was significantly reduced,and the healing rate was significantly faster than that of other groups(P＜0.01),and the effect of promoting wound healing was the most significant.Our findings demonstrated that nanofusion vesicles exhibited superior pro-cell proliferative,antioxidant,and anti-inflammatory properties,thereby exerting a beneficial effect on the promotion of skin wound healing in diabetic mouse models.