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 examine the impact of climate, land use and their interaction effect on the population density of Oncomelania hupensis. Methods O. hupensis snail surveillance data in Yunnan Province from 2013 to 2022 were obtained from the National Information System for Parasitic Diseases Prevention and Control of Chinese Information System for Disease Control and Prevention, and the density of living snails was calculated in each county-level administrative district. Climate data were obtained from the China Meteorological Forcing Dataset version 2.0, and land use data were captured from the China Land Cover Dataset. The raster climate data and land use data were clipped to the administrative border of Yunnan Province in the R package version 4.5, and the climate data were resampled to a spatial resolution of 30 m × 30 m consistent with the land use data using bilinear interpolation. Annual meteorological indicators were extracted from each county-level schistosomiasis surveillance administrative area in Yunnan Province from 2013 to 2022, including average temperature, maximum temperature, minimum temperature, temperature difference, average precipitation rate, maximum precipitation rate, minimum precipitation rate, downward shortwave radiation flux, downward longwave radiation flux, air pressure, wind speed, specific humidity and relative humidity. Annual land use structure and landscape pattern index in each county-level schistosomiasis surveillance administrative area in Yunnan Province from 2013 to 2022 were extracted and calculated, including the proportion of areas occupied by each type of land use, patch density, largest patch index, landscape separation index, landscape fragmentation index, landscape segmentation index, contagion index, patch cohesion index, edge density, and shape index. Land use entropy index was introduced to represent the degree of habitat fragmentation and ecological niche breadth. The density of living snails and environmental factors were subjected to rank correlation analysis, and variables with no statistically significant correlation (P>0.1) were excluded. Then, a correlation coefficient matrix was constructed, and |r_s| of 0.85 and greater was defined as the threshold of high collinearity. For highly correlated variables in each group, indicators with a more biological explanatory power or a better statistical efficiency were retained. A generalized additive model (GAM) was constructed with O. hupensis snail density as a response variable and screened environmental variables as independent variables, and the model performance was evaluated using the variance explained. Results The area occupied by O. hupensis snail habitats was 1 056 to 1 680 hm² in Yunnan Province from 2013 to 2022, appearing an overall tendency towards a decline; however, the density of living snails appeared a tendency towards a slight rise. Based on the correlation coefficient matrix, 14 core explanatory variables were retained, including farmland, water bodies, bare land, impervious surface, landscape separation index, landscape fragmentation index, edge density, shape index, land use entropy index, downward longwave radiation flux, downward shortwave radiation flux, maximum temperature, minimum precipitation rate and specific humidity. Two types of GAM were constructed, including the main-effects model without interaction terms and the interaction model with interaction terms. The corrected Akaike information criterion (AICc) of the optimal main-effects model was −285.223, and the core variables included bare land, impervious surface, landscape separation index, edge density, shape index, land use entropy index and downward shortwave radiation flux. Following introduction of second-order interaction terms, the AICc value of the optimal interaction model was −345.526, and the significant interaction combinations included: farmland × impervious surface, farmland × landscape separation index, farmland × shape index, farmland × land use entropy index, impervious surface × landscape separation index, impervious surface × edge density, and shape index × downward shortwave radiation flux. The proportion of the main-effects model explaining the variation of O. hupensis snail density was 39.8%, and the explanatory power of GAM increased to 79.0% following introduction of interaction terms. Conclusion Landscape separation index, edge density, shape index and other landscape pattern indicators pose significant impacts on the intensity and direction of changes in O. hupensis snail density in Yunnan Province.

Objective To understand the distribution, species composition, seasonal fluctuations, and presence of Dabie bandavirus in ticks in Tai'an City, providing a basis for assessing tick-borne disease risks and formulating prevention strategies. Methods Free-living ticks were monitored using the flagging method, whereas parasitic ticks were monitored through host surface examination. Reverse transcription-polymerase chain reaction (RT-qPCR) was used to detect the presence of Bandavirus dabieense in tick specimens. Results The density of free-living ticks in Tai'an City showed a continuous decreasing trend over the 3 years from 2021 to 2023, with an average tick density of 0.43 ticks/(flag·100 m). The dominant habitats were scenic areas and forests, and the seasonal fluctuations exhibited a bimodal pattern, peaking in March and August. The only free-living tick species captured was Haemaphysalis longicornis. Over the 3 years, the average tick index for parasitic ticks was 1.85, with sheep as the primary host. Seasonal fluctuations also followed a bimodal pattern, peaking in March and August. The primary parasitic tick species captured were H. longicornis and Rhipicephalus sanguineus. No Dabie bandavirus was detected in the tick specimens. Conclusions Tick density in Tai'an City remains relatively high, necessitating continued efforts to enhance tick surveillance and implement targeted prevention measures in rural environments to further reduce the health risks posed by tick-borne diseases.

Acute urinary retention(AUR)occurs frequently among astronauts on orbit.The current treatment is complex and easy to damage the urethra,which seriously affects the life and work of astronauts.In contrast,acupuncture,a traditional Chinese remedy,has shown promising results in managing urinary retention.However,the specific acupoints that could potentially prevent AUR remain uncertain due to the unique physiological conditions experienced by individuals in space compared to those on Earth.To address this gap,our research delved into the mechanisms of AUR and acupuncture within both traditional Chinese medicine and modern medical practices.We conducted a thorough literature review from Pubmed,Web of Science,CNKI,Wanfang database,VIP database and Chinese Medical Code database.A hierarchical evidence-scoring approach was utilized to analyze the included literatures,thus devised acupuncture protocols for the treatment of AUR.The outcomes of our study aim to establish a foundation for the application of acupuncture in managing AUR.

Under the influence of long-term space flights and the confined space environment,it is very easy to induce space depression syndrome,mainly manifested as decreased emotional stability,sleep disorders,mental fatigue,etc.,which seriously affect the living conditions and working abilities of astronauts.The current treatment methods mainly focus on psychological support and drug intervention.Acupuncture has a good effect in treating depression.Therefore,starting from the TCM pathogenesis and modern medical pathogenesis of aerospace depression syndrome,we conducted literature retrieval from databases such as the Chinese Medical Classic,China National Knowledge Infrastructure(CNKI),Wanfang,VIP,PubMed,and Web of science.For the included literature,we adopted the stratified evidence scoring method and combined the TCM mechanism and modern medical mechanism of the effect of acupuncture.A prescription for acupuncture points was constructed to provide a basis for selecting acupuncture points for the prevention of aerospace depression syndrome through acupuncture.

Objective To investigate whether transcutaneous electrical acupoint stimulation(TEAS)can improve the muscle strength,endurance and work efficiency of calf muscles in healthy young men,aiming to explore a new method for preventing and combating microgravity-induced muscle atrophy in space environments.Methods 40 healthy young men aged 18-35 years were randomly divided into a Control group(Pseudo Transcutaneous Electrical Acupoint Stimulation)and a Experimental group(Transcutaneous Electrical Acupoint Stimulation)in a 1∶1 ratio,with 20 participants in each group.In the Control group,the indicator light of the stimulator was covered,and the device was turned on,but the electrodes did not contact the skin,The device automatically turned offafter 3 seconds.In the Experimental group,the TEAS device was connected to the current and TEAS intervention was performed.The electrical stimulation waveform was a sperse-dense wave with a frequency of 4/20 Hz,and the intensity was determined by patient tolerance.The acupoints selected for electrical stimulation in both groups were bilateral Zusanli(ST36)、Liangqiu(ST34),Taixi(KI3),and Fuliu(KI7).Zusanli and Liangqiu were paired,and Taixi and Fuliu were paired.The intervention frequency was 30 min/time,1 time/day,6 days/week,for 2 weeks.The relative peak torque at 60°/s,relative peak torque at 180°/s,and average power at 180°/s of the bilateral calf muscles were measured using an isokinetic dynamometer at 0th,7th,and 14d day of the experiment.Results After 1 week of TEAS,compared with Control group,there were no significant changes in the relative peak torque at 60°/s,relative peak torque at 180°/s and average power at 180°/s of the bilateral anterior calf muscles in the Experimental group(all P>0.05);however,compared with Control group,the relative peak torque at 60°/s and the relative peak torque at 180°/s of the bilateral posterior calf muscles in the Experimental group were significantly increased(all P<0.05).After 2 weeks TEAS;compared with the Control group,there were no significant changes in the relative peak torque at 60°/s,relative peak torque at 180°/s and average power at 180°/s of the bilateral anterior calf muscles in the Experimental group(all P>0.05);however,the relative peak torque at 60°/s,relative peak torque at 180°/s,and average power at 180°/s of the bilateral posterior calf muscles were significantly increased in the Experimental group(all P<0.05).Conclusion TEAS of Zusanli,Liangqiu,Fuliu and Taixi acupoints on the lower limbs for 2 weeks can effectively improve the maximum muscle strength,endurance and work efficiency of the posterior calf muscles in healthy young men.

Objective To clarify the prescription of acupoints for preventing and controlling insomnia problems of astronauts in orbit and to verify its effectiveness through ground-based experiments,so as to provide reference for space-based applications.Methods 60 patients with mild to moderate insomnia were randomly divided into 30 cases each in the experimental group and the control group.The experimental group was treated with TEAS,and the acupoints were Neiguan,Waiguan,Shenmen,Hegu,Shenmai,Zhaohai,Taixi,and Sanyinjiao for 30 min/times every other day for 4 weeks;the control group was treated with waiting.The TEAS treatment was evaluated using Pittsburgh sleep quality index(PSQI),insomnia severity index(ISI),Hamilton anxiety scale(HAMA),Hamilton depression scale(HAMD),and indicators measured by the sleep monitor at pre-treatment,2-week,4-week,and 8-week follow-ups.Clinical efficacy for mild to moderate insomnia was assessed.Results The PSQI,ISI,and HAMD scores in the experimental group exhibited a decreasing trend during treatment and at follow-up,with significantly greater improvement compared to the control group(P<0.05).The experimental group demonstrated significantly greater improvement in HAMA scores than the control group at both the 4-week and 8-week follow-up assessments(P<0.05).Additionally,the experimental group demonstrated significantly greater improvements in reducing nighttime awakenings and enhancing sleep efficiency compared to the control group at the 4-week treatment mark(P<0.05).Conclusion TEAS Neiguan,Waiguan,Shenmen,Hegu,Shenmai,Zhaohai,Taixi and Sanyinjiao acupoints can significantly improve the sleep quality and anxiety and depression of patients with mild to moderate insomnia,and provide clinical data support for the prevention and treatment of insomnia in astronauts in orbit.

Metabolic-bariatric surgery(MBS)has become an important treatment for pathological obesity and metabolic diseases.However,common postoperative nutritional complications—such as protein-energy malnutrition,iron deficiency anemia,and vitamin B12 deficiency—significantly affect patients' long-term prognosis.Traditional nutritional management models rely on static monitoring and standardized supplementation,which are insufficient to address individual variability and dynamic postoperative changes.Artificial intelligence(AI),through integrating multimodal data(such as biochemical indicators,imaging information,and wearable device monitoring)and intelligent modeling,offers new approaches for dynamic monitoring,risk prediction,and personalized intervention.Based on literature from 2017 to 2025,this article systematically evaluates the application of AI in perioperative nutritional management for MBS,covering key technologies including machine learning,deep learning,and natural language processing.It also analyzes current challenges in clinical translation,such as data fragmentation,lack of model interpretability,and limited long-term validation.In the future,enhanced multi-center collaboration,the development of standardized databases,and explainable models will be essential to advancing nutritional management in MBS from empirical practice to precision medicine.

In view of the characteristics of H5N6 subtype avian influenza virus(AIV)that it has both high pathogenicity and the risk of cross-species transmission,posing a serious threat to the poultry farming industry and public health security,in order to effectively prevent and control the spread of H5N6 avian influenza,a rapid,sensitive and specific detection technolo-gy was established in this study.The specific monoclonal antibodies against the neuraminidase N6 protein of avian influenza A virus subtype H5N6 were obtained through hybridoma and monoclonal antibody technology.These antibodies were coupled and labeled with carboxyl-functionalized fluorescent quantum dots,along with previously prepared specific antibodies against the hemagglutinin H5 protein.A rapid fluorescence immunochromatographic detection method for the H5N6 subtype of avian influ-enza virus was established according to the principle of double-antibody sandwich immunochromatography.This method a-chieved a detection sensitivity of 1 ng/mL for recombinant hemagglutinin H5 subtype protein and 0.1 ng/mL for recombinant neuraminidase N6 subtype protein.Moreover,the method exhibited no cross-reactivity with other influenza subtypes or patho-gens,such as Newcastle disease(ND),infectious bronchitis(IB),and infectious laryngotracheitis(ILT),thus demonstrating good specificity.The method effectively identified the highly pathogenic avian influenza virus H5 subtype and directly distin-guished the H5N6 subtype with good accuracy.The fluorescent quantum dot immunochromatographic typing detection method established herein met the sensitivity,specificity,and accuracy requirements for H5N6 subtype detection,and can be further used for rapid detection of the H5 and H5N6 subtypes of avian influenza virus.

Objective:To evaluate the early efficacy and safety of transnasal endoscopic surgical resection of orbital cavernous hemangioma (OCH) at orbital resection by intranasal technique (ORBIT) stage Ⅲ.Methods:A retrospective study was conducted on 20 patients (20 eyes) who underwent nasal endoscopic surgery to remove ORBIT stage Ⅲ OCH at the Third Hospital of Peking University from July 2021 to July 2024. The cohort were included 10 males and 10 females, aged from 25 to 59 years, with a mean follow-up time of (5.10±4.51) months. Preoperative symptoms included visual field defects in 19 patients (95%), decreased visual acuity in 18 patients (90%), exophthalmos in 2 patients (10%), diplopia in 2 patients (10%), headache in 2 patients (10%), ocular pain in 2 patients (10%), and color vision abnormalities in 1 patient (5%). Data on patient demographics, medical history, imaging data, surgical approach, and postoperative outcomes were collected. Pre-and post-surgical outcomes including best corrected visual acuity (BCVA), visual field, proptosis, and intraocular pressure were compared. Surgical approaches included transnasal endoscopic OCH resection (12 cases, 60%) and transnasal endoscopic combined conjunctival approach OCH resection (8 cases, 40%). The results of the postoperative 2-week review were used as the postoperative short-term efficacy data, and those at 3 months were used for postoperative therapeutic efficacy analysis. SPSS 26.0 statistical software was applied for statistical analysis.Results:In 20 patients, all OCH were completely resected, and the BCVA, visual field, and exophthalmos were significantly improved post-operatively. The differences were statistically significant before and after surgery ( t values were 3.169, 5.127, and 3.350, respectively, all P<0.05). There were no serious complications in the short term after surgery. The short-term complications after endoscopic surgery alone were mainly new-onset diplopia in 1 case (1/12), and the short-term complications after combined approach were new-onset diplopia in 5 cases (5/8) and pupil dilation in 2 cases (2/8). All short-term complications recovered within 3 months, and no serious or permanent complications occurred in the long-term follow. Conclusion:The endoscopic transnasal surgery is a safe and effective approach for complete resection of ORBIT stage Ⅲ OCH, with promising early results.