Objective To evaluate the performance of the artificial intelligence (AI)-enabled snail identification system for recognition of Oncomelania hupensis robertsoni and Tricula in schistosomiasis-endemic areas of Yunnan Province. Methods Fifty O. hupensis robertsoni and 50 Tricula samples were collected from Yongbei Township, Yongsheng County, Lijiang City, a schistosomiasis-endemic area in Yunnan Province in May 2024. A total of 100 snail sample images were captured with smartphones, including front-view images of 25 O. hupensis robertsoni and 25 Tricula samples (upward shell opening) and back-view images of 25 O. hupensis robertsoni and 25 Tricula samples (downward shell opening). Snail samples were identified as O. hupensis robertsoni or Tricula by schistosomiasis control experts with a deputy senior professional title and above according to image quality and morphological characteristics. A standard dataset for snail image classification was created, and served as a gold standard for recognition of snail samples. A total of 100 snail sample images were recognized with the AI-enabled intelligent snail identification system based on a WeChat mini program in smartphones. Schistosomiasis control professionals were randomly sampled from stations of schistosomisis prevention and control and centers for disease control and prevention in 18 schistosomiasis-endemic counties (districts, cities) of Yunnan Province, for artificial identification of 100 snail sample images. All professionals are assigned to two groups according the median years of snail survey experiences, and the effect of years of snail survey experiences on O. hupensis robertsoni sample image recognition was evaluated. A receiver operating characteristic (ROC) curve was plotted, and the sensitivity, specificity, accuracy, Youden’s index and the area under the curve (AUC) of the AI-enabled intelligent snail identification system and artificial identification were calculated for recognition of snail sample images. The snail sample image recognition results of AI-enabled intelligent snail identification system and artificial identification were compared with the gold standard, and the internal consistency of artificial identification results was evaluated with the Cronbach’s coefficient alpha. Results A total of 54 schistosomiasis control professionals were sampled for artificial identification of snail sample image recognition, with a response rate of 100% (54/54), and the accuracy, sensitivity, specificity, Youden’s index, and AUC of artificial identification were 90%, 86%, 94%, 0.80 and 0.90 for recognition of snail sample images, respectively. The overall Cronbach’s coefficient alpha of artificial identification was 0.768 for recognition of snail sample images, and the Cronbach’s coefficient alpha was 0.916 for recognition of O. hupensis robertsoni snail sample images and 0.925 for recognition of Tricula snail sample images. The overall accuracy of artificial identification was 90% for recognition of snail sample images, and there was no significant difference in the accuracy of artificial identification for recognition of O. hupensis robertsoni (86%) and Tricula snail sample images (94%) (χ² = 1.778, P > 0.05). There was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (88%) and downward shell openings (92%) (χ² = 0.444, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less (75%) and more than 6 years (90%) (χ² = 7.792, P < 0.05). The accuracy, sensitivity, specificity and AUC of the AI-enabled intelligent snail identification system were 88%, 100%, 76% and 0.88 for recognition of O. hupensis robertsoni snail sample images, and there was no significant difference in the accuracy of recognition of O. hupensis robertsoni snail sample images between the AI-enabled intelligent snail identification system and artificial identification (χ² = 0.204, P > 0.05). In addition, there was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (90%) and downward shell openings (86%) (χ² = 0.379, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less and more than 6 years (χ² = 5.604, P_adjusted < 0.025). Conclusions The accuracy of recognition of snail sample images is comparable between the AI-enabled intelligent snail identification system and artificial identification by schistosomiasis control professionals, and the AI-enabled intelligent snail identification system is feasible for recognition of O. hupensis robertsoni and Tricula in Yunnan Province.

Digital technologies have become an integral part of complete denture restoration. With advancement in computer-aided design and computer-aided manufacturing (CAD/CAM), tools such as intraoral scanning, facial scanning, 3D printing, and numerical control machining are reshaping the workflow of complete denture restoration. Unlike conventional methods that rely heavily on clinical experience and manual techniques, digital technologies offer greater precision, predictability, and efficacy. They also streamline the process by reducing the number of patient visits and improving overall comfort. Despite these improvements, the clinical application of digital complete denture restoration still faces challenges that require further standardization. The major issues include appropriate case selection, establishing consistent digital workflows, and evaluating long-term outcomes. To address these challenges and provide clinical guidance for practitioners, this expert consensus outlines the principles, advantages, and limitations of digital complete denture technology. The aim of this review was to offer practical recommendations on indications, clinical procedures and precautions, evaluation metrics, and outcome assessment to support digital restoration of complete denture in clinical practice.
Humans ; Denture, Complete ; Computer-Aided Design ; Denture Design/methods* ; Consensus ; Printing, Three-Dimensional

Objective To study the mechanical properties of titanium mesh and three-dimensional(3D)-printed metal vertebral body substitutes(VBS)to provide guidance for the selection and structural optimization of artificial vertebral implants in clinical practice.Methods The equivalent elastic modulus,equivalent yield strength,and structural failure mode of titanium mesh and 3D-printed porous,truss,and topologically optimized VBS were systematically investigated using compression tests.Results The elastic modulus of the titanium mesh(2 908.73±287.39 MPa)was only lower than that of the topologically optimized VBS.However,their structural strengths and stabilities were inadequate.The yield strength of the titanium mesh(46.61±4.85 MPa)was only higher than that of the porous VBS and it was the first to yield during compression.The porous VBS was insufficient for use as the vertebral implant owing to its poor mechanical strength(18.14±0.17 MPa-25.79±0.40 MPa).The truss VBS had good elastic modulus(2 477.86±55.19 MPa-2 620.08±194.36 MPa)and strength(77.61±0.50 MPa-88.42±1.07 MPa).However,the structural stability of the truss VBS was insufficient,and instability occurred easily during compression.The topologically optimized VBS had the highest elastic modulus(3 746.28±183.80 MPa)and yield strength(177.43±3.82 MPa)among all the tested VBS types,which could provide improved security and stability for artificial vertebral implant in vivo services.Conclusions Topology optimization results in a high strength and high stability VBS design.Moreover,it provides a large design space and great safety margin to provide increased possibilities for lightweight and new material design of future artificial vertebral implants.

AIM: To observe the efficacy of phacoemulsification combined with capsular tension ring and intraocular lens implantation in the treatment of high myopia with cataract.METHODS: Retrospective study. A total of 82 cases(82 eyes)of high myopia complicated with cataract who admitted to the cataract department of our hospital from December 2021 to April 2023 were selected as study objects, and they were divided into control group(n=39)and combination group(n=43)according to whether or not the capsular tension ring was used intraoperatively. Patients in the control group were treated with intraocular lens implantation alone, and those in the combination group were treated with phacoemulsification combined with capsular tension ring and intraocular lens implantation. The preoperative and postoperative best corrected visual acuity, central anterior chamber depth, trabecular ciliary process, visual quality and complications were compared.RESULTS: At 1 mo after surgery, the best corrected visual acuity(LogMAR)of both groups increased significantly(combination group: 0.64±0.28 vs 0.12±0.14; control group: 0.62±0.26 vs 0.23±0.25, both P<0.001). Central anterior chamber depth in both groups were higher than those before surgery(combination group: 2.57±0.56 vs 1.97±0.40 mm; control group: 2.22±0.45 vs 1.89±0.37 mm; both P<0.001), and the best corrected visual acuity and central anterior chamber depth of the combination group were significantly better than those of the control group(both P<0.05). The distance of trabecular ciliary process showed no statistical significance(combination group: 0.68±0.22 vs 0.74±0.20 mm; control group: 0.74±0.19 vs 0.78±0.17 mm, both P>0.05). The visual quality scores of the combination group were all higher than the control group at 1 mo after surgery [watching TV: 3.00±0.38 vs 2.22±0.46 points; reading books: 2.85±0.42 vs 2.21±0.44 points; night vision: 2.71±0.34 vs 2.37±0.41 points; fine operation: 2.82±0.38 vs 2.33±0.40 points, all P<0.001]. The incidence of complication in the combination group was significantly lower than that of the control group(33% vs 14%, P<0.05).CONCLUSION: Phacoemulsification combined with capsular tension ring and intraocular lens implantation can effectively promote the recovery of visual function, improve the structure of chamber angle, and reduce the incidence of complications in the treatment of patients with high myopia and cataract.

Objective:To investigate the relationship between body mass index(BMI) and osteoporosis using Mendelian randomization analysis.Methods:The genetic variation strongly related to BMI was selected as the instrumental variables in the collection data set of the genome-wide association study(GWAS). The MR-Egger regression, weighted median estimator(WME), inverse variance weighted(IVW), simple mode and weighted mode were used for Mendelian randomization(MR) analysis. The causal association between BMI and osteoporosis was evaluated by odds ratio and 95% confidence interval. The MR-APSS method was applied to make the causal inference results based on MR more reliable. The Linkage disequilibrium score regression was applied to evaluate the genetic correlation, and the horizontal pleiotropy test, heterogeneity test, and leave-one-out method were used to evaluate whether the results were reliable, The influence of heterogeneity and horizontal pleiotropy were reduced by the MR-PRESSO outlier test.Results:A total of 421 SNPs were included, with inverse variance-weighted method as the main analysis approach. The calculated OR value and 95% CI were 0.994(95% CI 0.992-0.997), indicating a protective effect of BMI on osteoporosis. The MR-APSS method showed that the effect of BMI on osteoporosis was statistically significant. Linkage disequilibrium score regression demonstrated a genetic correlation between BMI and osteoporosis. MR-Egger regression intercept showed no horizontal pleiotropy of instrumental variables, and the funnel plot showed no bias in instrumental variables. Leave-one-out analysis confirmed robust results. Conclusion:There may be a negative causal relationship between BMI and osteoporosis and BMI is a protective factor for osteoporosis.

ObjectiveTo observe the therapeutic effect of early postoperative comprehensive rehabilitation on elbow joint dysfunction and ulnar nerve injury in children and adolecents with supracondylar fracture of humerus complicated with ulnar nerve injury. MethodsA total of 49 children with supracondylar fracture of humerus complicated with ulnar nerve injury after operation were selected from January, 2016 to December, 2021 in Wangjing Hospital, which were randomly divided into control group (n = 24) and treatment group (n = 25). The control group accepted wax therapy and acupuncture, and the treatment group accepted medicine fumigation, joint mobilization and electromyographic biofeedback, for twelve weeks. They were assessed with The Hospital for Special Surgery Elbow score (HSS) and Medical Research Neurotrauma Society Report (MCRR) before and after treatment. ResultsAfter treatent, the HSS scores increased in both groups (|t| > 8.345, P < 0.001). The HSS score was significantly higher in the treatment group than in the control group (t = 4.536, P < 0.001). The d-value of HSS scores before and after treatment was significantly higher in the treatment group than in the control group (t = 3.717, P < 0.05). The rate of excellent recovery of ulnar nerve function was significantly higher in the treatment group than in the control group (χ² = 5.975, P < 0.05). ConclusionEarly postoperative comprehensive rehabilitation could romote the recovery of elbow function and ulnar nerve injury in children and youth with supracondylar fracture of humerus complicated with ulnar nerve injury.

Objectives To understand the quality status of disinfection products in the market in Shaanxi Province, and to provide a basis for taking targeted management measures. Methods From 2020 to 2023, in accordance with the national disinfection product management regulations and standards, the physicochemical and microbial tests of disinfection products in Shaanxi Province were carried out through supervised sampling, and the test results were analyzed according to the active ingredients, illegal addition, stability, and bactericidal or bacteriostatic performance. Results The overall qualification rate of the active ingredient content of disinfectants sampled in Shaanxi Province was 90.48%, with the lowest qualification rate in 2023 (84.38%). The overall qualification rate of quantitative sterilization test of disinfectants was 90.12%, showing a decreasing trend year by year (P=0.272). The overall qualification rate of anti-bacterial products was 88.59%, and the bactericidal test results of 20 antibacterial products were all qualified. The overall qualification rate of bacteriostatic performance testing for bacteriostatic products was 86.17%, with the pass rate of bacteriostatic product germicidal efficacy testing of different components in descending order being quaternary ammonium salt/silver ion > guanidine > others > lysozyme, and there was statistically significant difference (P=0.004). The detection rate of illegal additives in antimicrobial products was 7.07%, with the main detection indicators being miconazole nitrate, clobetasol propionate, and dexamethasone acetate. Conclusion The qualified rate of disinfection products in Shaanxi Province is relatively high, but there is a downward trend. It is necessary to continue to strengthen the daily supervision and product testing of disinfection product manufacturers, and promote the continuous improvement of disinfection product quality.

Objective To construct a visual intelligent recognition model for Oncomelania hupensis robertsoni in Yunnan Province based on the EfficientNet-B4 model, and to evaluate the impact of data augmentation methods and model hyperparameters on the recognition of O. hupensis robertsoni. Methods A total of 400 O. hupensis robertsoni and 400 Tricula snails were collected from Yongsheng County, Yunnan Province in June 2024, and snail images were captured following identification and classification of 300 O. hupensis robertsoni and 300 Tricula snails. A total of 925 O. hupensis robertsoni images and 1 062 Tricula snail images were collected as a dataset and divided into a training set and a validation set at a ratio of 8:2, while 352 images captured from the remaining 100 O. hupensis robertsoni and 354 images from the remaining 100 Tricula snails served as an external test set. All acquired images were subjected to preprocessing, including cropping and resizing. Three data augmentation approaches were employed, including baseline, Mixup and Gaussian blurring, and model hyperparameters included two optimization algorithms of adaptive moment estimation (Adam) and stochastic gradient descent (SGD), two loss functions of focal loss and cross entropy loss, and two learning rate decay strategies of cosine annealing and multi-step. The intelligent recognition models of O. hupensis robertsoni and Tricula snails were constructed based on the EfficientNet-B4 model, and 7 training strategy groups were generated by combinations of different data augmentation approaches and hyperparameters. The performance of intelligent recognition models was tested with external test sets, and evaluated with accuracy, precision, recall, F1 score, loss, Youden’s index, and the area under the receiver operating characteristic curve (AUC) under different training strategies. Results The variation of loss values was comparable among intelligent recognition models with different data augmentation approaches. The Group 4 model constructed with Mixup and Gaussian blurring data augmentation approaches showed the optimal performance, with an accuracy of 90.38%, precision of 90.07%, F1 score of 89.44%, Youden’s index of 0.81 and AUC of 0.961 in the external test set. The accuracy of models using the SGD optimizer reduced by 29.16% as compared to those using the Adam optimizer (χ² = 81.325, P < 0.001), and the accuracy of models using the cross entropy loss function reduced by 0.80% as compared to the Group 4 model (χ² = 3.147, P > 0.05), while the accuracy of models using the multi-step learning rate decay strategy increased by 0.65% as compared to the Group 4 model (χ² = 0.208, P > 0.05). In addition, the model with the baseline + Mixup + Gaussianblurring data augmentation approach and hyperparameters of Adam optimizer, focal loss function and multi-step learning rate decay strategy showed the highest performance, with an accuracy of 91.03%, precision of 91.97%, recall of 88.11%, F1 score of 90.00%, Youden’s index of 0.82 and AUC values of 0.969 in external test set, respectively. Conclusions The intelligent recognition model of O. hupensis robertsoni based on EfficientNet-B4 model is accurate for identification of O. hupensis robertsoni and Tricula snails in Yunnan Province.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

【Objective】 To establish a method for detecting human immunoglobulin Fc function based on surface plasmon resonance technology. 【Methods】 Based on the characteristic that FcγRI can be binded to the Fc segment of IgG, the affinity constant of the sample was detected by surface plasmon resonance, and its Fc function was the KD ratio of the sample to the standard. The method was validated for specificity/specificity, precision and robustness. The method and the pharmacopoeia method were used to detect the Fc function of 30 human immunoglobulins, and the correlation and consistency of the detection results were analyzed. 【Results】 The method validation results showed that this method has strong specificity/specificity (t values were 0.15, 0.22, both P>0.05), good precision (CV value 5.37%~10.69%) and good robustness (CV value 10.06%). The detection results of this method and the pharmacopoeia method have high correlation (r=0.96, P<0.05) and high consistency (Bias-2.060, 95% Limits of Agreement-5.628~1.508). 【Conclusion】 A method for detecting human immunoglobulin Fc function based on surface plasmon resonance has been successfully established.