Amid the global wave of digital economy, China's medical artificial intelligence applications are rapidly advancing through technological innovation and policy support, while facing multifaceted evaluation and regulatory challenges. The dynamic algorithm evolution undermines the consistency of assessment criteria, multimodal systems lack unified evaluation metrics, and conflicts persist between data sharing and privacy protection. To address these issues, the China National Health Development Research Center has established a value assessment framework for artificial intelligence medical technologies, formulated the country's first technical guideline for clinical evaluation, and validated their practicality through scenario-based pilot studies. Furthermore, this paper proposes introducing a "regulatory sandbox" model to test technical compliance in controlled environments, thereby balancing innovation incentives with risk governance.
Artificial Intelligence/legislation & jurisprudence* ; China ; Humans ; Algorithms

ObjectiveTo evaluate the methodological quality and reporting quality of published guidelines/consensuses on traditional Chinese medicine （TCM）/integrated traditional Chinese and Western medicine diagnosis and treatment of nonalcoholic fatty liver disease （NAFLD）， and to provide a basis for formulating guidelines/consensuses on TCM/integrated traditional Chinese and Western medicine diagnosis and treatment of NAFLD in the future. MethodsDatabases including PubMed， Embase， Web of Science， CNKI， Wanfang Data， and CBM and the websites of China Association of Chinese Medicine and China Association of Integrative Medicine were searched for related articles published up to September 1， 2024. Two clinical researchers independently assessed the methodological quality and reporting quality of the guidelines/consensuses on TCM/integrated traditional Chinese and Western medicine diagnosis and treatment of NAFLD by using Appraisal of Guidelines for Research and Evaluation Ⅱ （AGREE Ⅱ） and Reporting Items for Practice Guidelines in Healthcare （RIGHT）. ResultsA total of nine guidelines/consensuses were included after literature screening， with four guidelines and five expert consensuses. The scores of different domains assessed by AGREE Ⅱ for the nine guidelines/consensuses were as follows： scope and purpose （47.1%）， stakeholder involvement （41.0%）， rigor of development （21.6%）， clarity of presentation （40.2%）， applicability （19.0%）， and editorial independence （19.6%）. The recommendation level of the articles was B level （recommended after revision） for four articles and C level （not recommended） for five articles. The RIGHT assessment showed high reporting rates for “Basic Information” and “Background”， while other areas needed to be improved. Currently， there was no international standard for the guidelines/consensuses on TCM/integrated traditional Chinese and Western medicine diagnosis and treatment of NAFLD， and the quality of these guidelines/consensuses needed to be enhanced to ensure comprehensiveness and credibility. ConclusionThere is still potential for improving the quality of guidelines/consensuses on TCM/integrated traditional Chinese and Western medicine diagnosis and treatment of NAFLD， and AGREE Ⅱ and RIGHT checklists should be strictly followed to ensure the fairness， scientific rigor， and transparency of these guidelines/consensuses.

OBJECTIVES: To explore the risk factors of feeding intolerance (FI) in critically ill children receiving enteral nutrition (EN) and to construct a prediction nomogram model for FI. METHODS: A retrospective study was conducted to collect data from critically ill children admitted to the Pediatric Intensive Care Unit of Xiangya Hospital, Central South University, between January 2015 and October 2020. The children were randomly divided into a training set (346 cases) and a validation set (147 cases). The training set was further divided into a tolerance group (216 cases) and an intolerance group (130 cases). Multivariate logistic regression analysis was used to screen for risk factors for FI in critically ill children receiving EN. A nomogram was constructed using R language, which was then validated on the validation set. The model's discrimination, calibration, and clinical net benefit were evaluated using receiver operating characteristic curves, calibration curves, and decision curves. RESULTS: Duration of bed rest, shock, gastrointestinal decompression, use of non-steroidal anti-inflammatory drugs, and combined parenteral nutrition were identified as independent risk factors for FI in critically ill children receiving EN (P<0.05). Based on these factors, a nomogram prediction model for FI in critically ill children receiving EN was developed. The area under the receiver operating characteristic curve for the training set and validation set was 0.934 (95%CI: 0.906-0.963) and 0.852 (95%CI: 0.787-0.917), respectively, indicating good discrimination of the model. The Hosmer-Lemeshow goodness-of-fit test showed that the model had a good fit (χ 2=12.559, P=0.128). Calibration curve and decision curve analyses suggested that the model has high predictive efficacy and clinical application value. CONCLUSIONS Duration of bed rest, shock, gastrointestinal decompression, use of non-steroidal anti-inflammatory drugs, and combined parenteral nutrition are independent risk factors for FI in critically ill children receiving EN. The nomogram model developed based on these factors exhibits high predictive efficacy and clinical application value.
Humans ; Critical Illness ; Enteral Nutrition/adverse effects* ; Male ; Risk Factors ; Female ; Child, Preschool ; Infant ; Nomograms ; Retrospective Studies ; Child ; Logistic Models

Haloacetic acids(HAAs),as a class of disinfection byproducts in drinking water,pose potential threats to human health,so the rapid,accurate and simultaneous detection of HAAs is of great significance for ensuring drinking water safety.Aiming at the challenges in HAAs detection and risk analysis,a novel method for synchronous rapid detection of seven kinds of HAAs in drinking water based on in situ derivatization technology and headspace gas chromatography was developed in this study.Through single-factor optimization experiments,the optimal reaction parameters for in situ derivatization were determined,including the type and dosage of salting-out agent,the acidity of reaction system,the amount of phase transfer catalyst,the dosage of derivatization agent,and the extraction solvent volume.Methodologic validation showed that the seven kinds of HAAs exhibited excellent linear relationships within their respective detection concentration ranges(R2>0.998).The method detection limits(MDLs)ranged from 0.04 to 0.33 μg/L,and the limits of quantification(LOQs)were between 0.14 and 1.34 μg/L.For real water samples,the average spiked recoveries of the seven HAAs ranged from 90.9%to 107.7%,with relative standard deviation(RSDs)between 1.55%and 6.49%,and the HAAs contents in all tested samples were below the limits specified in the Standards for Drinking Water Quality(GB 5749-2022)of China.This method was featured with simple operation,fast analysis speed,high sensitivity,and good accuracy,providing an efficient and reliable technical support for routine monitoring of HAAs contaminants in drinking water and showing promising application value for widespread promotion.

Due to the poor ionization efficiency and the weak mass spectrometry(MS)intensity of weakly polar substances,direct analysis using the traditional electrospray ionization mass spectrometry(ESI-MS)is a big challenge.In this study,a novel rapid on-site detection method of four prohibited sex hormones in cosmetics was proposed using online derivatization strategy coupled with a miniature mass spectrometer.The target substances in the samples were extracted by a custom-made polyaniline/multi-walled carbon nanotube solid-phase microextraction(SPME)probe.The stirring speed was 200 r/min,the extraction temperature was 40℃,and the extraction time was 2 min.A pulled dual-channel θ borosilicate glass capillary emitter was used as the nano-ESI ion source.The SPME probe was inserted into the channel containing methanol in theθborosilicate glass capillary.When the spray voltage was applied,the four sex hormones were desorbed and formed spray microdroplets,which then collided with the hydroxylamine microdroplets generated from the other channel.The microdroplets of reaction product entered into the miniature mass spectrometer for direct analysis.The limits of detection(LOD)and limits of quantification(LOQ)for the four sex hormones were 10-20 ng/mL and 20-50 ng/mL,respectively.The recoveries were from 84.6%to 107.8%with the relative standard deviations(RSD)from 4.1%to 11.6%.Compared to detection without derivatization,the MS signals of the four target substances were increased by 3 to 15 times.This method was simple,rapid,highly efficient and sensitive,and suitable for on-site rapid analysis of weakly polar sex hormones in cosmetics.

ObjectiveAngle-closure glaucoma (ACG) is one of the major eye-blinding diseases. To diagnose ACG, it is crucial to examine the anterior chamber angle. Current diagnostic tools include slit lamp gonioscopy, water gonioscopy, ultrasound biomicroscopy (UBM), and anterior segment optical coherence tomography (AS-OCT). Slit lamp and water gonioscopy allow convenient observation of the anterior chamber angle, but pose risks of invasive operation and eye infections. UBM can accurately measure the structure of the anterior chamber angle. However, it is complex to operate and unsuitable for patients, who have undergone trauma or ocular surgery. Although AS-OCT provides detailed images, it is costly. The aim of this study is to explore a non-invasive, non-destructive optical reflection tomography (ORT) technique. This technique can achieve low-cost three-dimensional imaging and full-field anterior chamber angle measurement of the porcine eye. MethodsThe experiment involved assembling an optical reflection tomography system, which included a complementary metal oxide semiconductor (CMOS) camera, a telecentric system, a stepper motor, and a white light source, achieving a spatial resolution of approximately 8.5 μm. The process required positioning the porcine eye at the center of the field of the imaging system and rotating it around its central axis using a stepper motor. Reflection projection images were captured at each angle with an exposure time of 1.0 ms and an interval of 2°. The collected reflection-projection data were processed using a filtered reflection tomography algorithm, generating a series of two-dimensional slice data. These slices essentially represented cross-sectional views of the three-dimensional structural image, and were reconstructed into a complete three-dimensional structural image. Based on the reconstructed three-dimensional structural image of the porcine eye, the anterior chamber angles at different positions were measured, and a distribution map of these angles was drawn. Simultaneously, the ORT measurements were compared with the standard results obtained from optical coherence tomography (OCT) to assess the accuracy of ORT measurements. ResultsIn this study, we successfully obtained the reflection projection data of a porcine eye using ORT technology, reconstructed its three-dimensional structural image, and measured the anterior chamber angle, generating the corresponding distribution map. To better distinguish the different structural parts of porcine eye, the three-dimensional structural image was marked with blue, green, and yellow dashed lines from the outer to the inner layers. The area between the blue and green dashed lines corresponded to the sclera. The area between the green and yellow dashed lines corresponded to the iris. The area inside the yellow dashed line corresponded to the pupil. The three-dimensional structural image clearly revealed the key anatomical features of the porcine eye. It was able to measure the anterior chamber angle at different positions. Additionally, the anterior chamber angle measurements of the porcine eye using ORT were compared with the measurements obtained using a TEL320C1 type OCT system, showing an average deviation of 0.51° and a mean square error MSE of 0.317. ConclusionORT is a non-invasive, non-destructive, low-cost, and high-resolution imaging technique capable of achieving three-dimensional structural imaging and full-field anterior chamber angle measurement of a porcine eye. This technology offers a new perspective for the diagnosis of angle-closure glaucoma and is significant for the screening, diagnosis, and monitoring of eye diseases, potentially benefiting clinics and small hospitals in remote areas in the future.

OBJECTIVE To observe the effects of Panax quinquefolium-Acorus calamus on learning and memory abilities in diabetes mellitus(DM) mice and investigate the mechanism of Panax quinquefolium-Acorus calamus in treating diabetic cognitive impairment(DCI) through network pharmacology and animal experiments. METHODS Diabetic mouse model was established by intraperitoneal injection of streptozotocin(80 mg·kg−1), followed by 8 weeks of oral administration and assessment of drug efficacy using the Morris water maze. The active ingredients and targets of Panax quinquefolium-Acorus calamus were collected using TCMSP, Swiss Target Prediction, and Gene Cards. The protein-protein interaction network of "Traditional Chinese Medicine-Ingredient-Disease targets" was constructed using the String platform and Cytoscape, visualized, and subjected to enrichment analysis using the Metascape database. The anti-DCI mechanism of Panax quinquefolium-Acorus calamus was examined through ELISA and Western blotting, while changes in hippocampal neurons of diabetic mice were observed using HE staining. RESULTS Panax quinquefolium-Acorus calamus reduced the escape latency of diabetic mice(P<0.05), without significant impact on swimming speed. Network pharmacology results indicated that the main components of Panax quinquefolium-Acorus calamus in treating DCI were ginsenoside Re, ginsenoside Rh2, and shanjin phenol, which regulated the Nrf2-Keap1 signaling pathway to treat DCI. Animal experiments demonstrated that Panax quinquefolium-Acorus calamus increased SOD activity(P<0.05), decreased MDA levels(P<0.01), enhanced the expression of HO-1, Keap1, Nrf2 in mouse brain(P<0.01), and alleviated the loosening of granule cell arrangement and nuclear condensation in the hippocampal CA1, CA3, and DG regions. CONCLUSION Using animal experiments combined with network pharmacology, this study preliminarily elucidates the potential targets and mechanisms of Panax quinquefolium-Acorus calamus in intervening DCI, and predictes the molecular basis for its intervention in DCI through molecular docking, providing insights for further in-depth research on Panax quinquefolium-Acorus calamus.

Objective:To analysis the job preference and heterogeneity of medical students by distinguishing their birthplaces,and to provide reference for optimizing the management of primary health care resources.Methods:Using a cluster sampling method,an online survey of discrete choice experiment was conducted with 925 medical students from six teaching hospitals in Beijing,741 valid questionnaires were obtained,the effective recovery rate was 80.1%.The mixed logit model was used to perform regression analysis on six job attributes and estimate the willingness to pay.Results:There were significant differences in the choice of work location among medical students from different birthplaces.The subgroup results showed that compared to medical students from city,undergraduates from rural and county district preferred a work with sufficient career development opportunities.The results of undergraduate subgroup showed that undergraduates from rural district preferred a work with good environment than those from other birthplaces.Conclusion:There is heterogeneity in job preferences of medical students from different birthplaces.Policy makers should pay attention to the medical students'birthplace,also take the educational level into account to optimize the diversified job attributes,formulating targeted intervention to attract primary health care talents.

Objective:To evaluate the relationship between gluten-free diet and rheumatoid arthritis (RA).Methods:Data were obtained from large-scale genome-wide association studies (GWAS), and genetic loci that are independent of gluten-free diet and RA of people of Europe2 were selected as instrumental variables. The gluten-free diet GWAS data included 64 949 individuals and 9 851 867 controls. Data were obtained from GWAS of 58 284 RA patients and 13 108 512 controls. The inverse variance weighted (IVW), MR Egger, weighted median method and weighted model were used to conduct two sample Mendelian randomization (MR) analysis. Cochran Q test and mendelian randomness pleiotropy residual sum and outlier (MR-PRESSO) were used to assess SNP heterogeneity. Applying the MR Egger intercept to test the level pleiotropy of SNP. The sensitivity analysis of the "leave one method" that evaluates whether MR studies were influenced by a single SNP. Results:After matching GFD and RA data, three SNPs were included as instrumental variables in the study. IVW showed that GFD could significantly reduce the risk of RA ( β=-60.83, s x=3.82, P<0.001). The weighted median method and weighted pattern also showed that the gluten free diet could reduce the risk of RA ( β=-57.97, s x=4.41, P<0.001; β=-55.81, s x=5.10, P=0.008). Sensitivity analysis of the correlation between GFD and RA showed that there might be heterogeneity between SNPs (Cochran Q test, Q=12.80, P=0.002). The MR-PRESSO results showed that no abnormal SNP was detected ( P=0.174). The forest map showed that SNPs was closely related to GFD and RA stability. The method comparison chart showed that the results of multiple testing methods were basically consistent. The funnel plot showed that SNPs were basically symmetrical, indicating that there was no pleiotropy in MR analysis. The MR Egger intercept test showed no horizontal pleiotropy in MR analysis (intercept value was-0.24, P=0.174). The sensitivity analysis of the "leave one method" is suggested that no single SNP had a significant impact on the overall results. Conclusion:Gluten free diet is related to the risk reduction of RA.

Objective:To evaluate the incidence and case fatality rate of cardiovascular disease (CVD) among populations in urban and rural communities in eastern, central and western regions of China.Methods:The present study was based on the data of the Prospective Urban and Rural Epidemiology (PURE)-China cohort, which enrolled participants who had at least one follow-up visit and complete information on age and sex. Information on baseline demographics, cardiovascular risk factors, and prevention and treatment for CVD were collected. CVD and mortality events were documented using the standardized case report form of the PURE Global Study to assess the incidence and case fatality rate of CVD among populations in urban and rural communities in eastern, central and western China.Results:This study included a total of 47 262 community-dwelling participants (age: (51.1±9.6) years; female, n=27 529, 58.2%) from 115 urban and rural communities in 12 provinces across the eastern, central, and western regions of China. Over a follow-up period of 11.9 (9.5, 12.6) years, 2 686 deaths and 5 873 cardiovascular events were documented. The incidence of CVD was 11.90 (95%CI: 11.60-12.21)/1 000 person-years. A significant difference in CVD incidence was observed across regions ( Ptrend<0.001), which was highest in the western provinces (13.99 (95% CI: 13.33-14.65)/1 000 person-years), intermediate in the eastern provinces (11.92 (95% CI: 11.52-12.33)/1 000 person-years), and lowest in the central provinces (8.87 (95% CI: 8.25-9.50)/1 000 person-years). The 1-year case fatality rate of CVD demonstrated an increasing trend from eastern to western regions (eastern: 10.20% (95% CI: 6.95-14.73); central: 13.50% (95% CI: 9.90-18.14); western: 18.62% (95% CI: 14.95-22.94); Ptrend<0.001). Moreover, the incidence of major CVD was consistently higher in rural areas compared with urban areas across eastern ( P<0.001), central ( P=0.01) and western ( P<0.001)_regions, respectively. The 1-year case fatality rate in rural areas was also significantly higher compared with that in urban areas in both eastern ( P<0.001) and western regions ( P=0.02). Conclusions:The incidence and case fatality rate of CVD were high among middle-aged population in China, especially those in western regions with low socioeconomic levels and in rural areas.