Abstract The prevention and control of myopia in Chinese children and adolescents has become a major public health issue. While maintaining increased outdoor activity as a cornerstone intervention, there is an urgent need to explore new complementary approaches that can be effectively implemented in both indoor and outdoor settings. In recent years, environmental spatial frequency has gained increasing attention as one of the key environmental factors influencing the development and progression of myopia. Both animal studies and human research have confirmed that indoor environments lacking mid to high spatial frequency components, often characterized as "visually impoverished", can promote axial elongation and myopia through mechanisms such as disruption of retinal neural signaling, impaired accommodative function, and altered expression of related molecules. Based on the scientific consensus, it is recommended that "enriching of environmental spatial frequency" should be integrated into the myopia prevention and control framework. Following the principles of schoolled organization, family cooperation, community involvement, and student participation, specific measures are put forward in three areas：optimizing school visual settings, improving home spatial environments, and promoting healthy visual behavior. The aim is to create "visually friendly" indoor environments as an important supplement to outdoor activity, thereby providing a novel perspective and strategy for comprehensively advancing myopia prevention and control among children and adolescents.

With the emergence of deep learning techniques based on convolutional neural networks, artificial intelligence (AI) has driven transformative developments in the field of medical image analysis. Recently, large language models (LLMs) such as ChatGPT have also started to achieve distinction in this domain. Increasing research shows the undeniable role of AI in reshaping various aspects of medical image analysis, including processes such as image enhancement, segmentation, detection in image preprocessing, and postprocessing related to medical diagnosis and prognosis in clinical settings. However, despite the significant progress in AI research, studies investigating the recent advances in AI technology in the aforementioned aspects, the changes in research hotspot trajectories, and the performance of studies in addressing key clinical challenges in this field are limited. This article provides an overview of recent advances in AI for medical image analysis and discusses the methodological profiles, advantages, disadvantages, and future trends of AI technologies.
Artificial Intelligence ; Humans ; Image Processing, Computer-Assisted/methods* ; Neural Networks, Computer ; Deep Learning ; Diagnostic Imaging/methods*

With the rising incidence of breast cancer among women, neoadjuvant chemotherapy (NAC) is becoming increasingly crucial as a preoperative treatment modality, enabling tumor downstaging and volume reduction. However, its efficacy varies significantly among patients, underscoring the importance of predicting pathological complete response (pCR) following NAC. Early research relied on statistical methods to integrate clinical data for predicting treatment outcomes. With the advent of artificial intelligence (AI), traditional machine learning approaches were subsequently employed for efficacy prediction. Deep learning emerged to dominate this field, and demonstrated the capability to automatically extract imaging features and integrate multimodal data for pCR prediction. This review comprehensively examined the applications and limitations of these three methodologies in predicting breast cancer pCR. Future efforts must prioritize the development of superior predictive models to achieve precise predictions, integrate them into clinical workflows, enhance patient care, and ultimately improve therapeutic outcomes and quality of life.
Humans ; Breast Neoplasms/pathology* ; Neoadjuvant Therapy ; Artificial Intelligence ; Female ; Machine Learning ; Deep Learning ; Chemotherapy, Adjuvant ; Treatment Outcome

"Weibing" is a fundamental concept in traditional Chinese medicine (TCM), representing a transitional state characterized by diminished self-regulatory abilities without overt physiological or social dysfunction. This perspective delves into the biological foundations and quantifiable markers of Weibing, aiming to establish a research framework for early disease intervention. Here, we propose the "Health Quadrant Classification" system, which divides the state of human body into health, sub-health, disease-susceptible state, and disease. We suggest the disease-susceptible stage emerges as a pivotal point for TCM interventions. To understand the intrinsic dynamics of this state, we propose laboratory and clinical studies utilizing time-series experiments and stress-induced disease susceptibility models. At the molecular level, bio-omics technologies and bioinformatics approaches are highlighted for uncovering intricate changes during disease progression. Furthermore, we discuss the application of mathematical models and artificial intelligence in developing early warning systems to anticipate and avert the transition from health to disease. This approach resonates with TCM's preventive philosophy, emphasizing proactive health maintenance and disease prevention. Ultimately, our perspective underscores the significance of integrating modern scientific methodologies with TCM principles to propel Weibing research and early intervention strategies forward.

ObjectiveTo investigate whether anti-PD-1 monoclonal antibody can improve the efficacy and safety of cryoablation combined with lenvatinib in the treatment of unresectable hepatocellular carcinoma （HCC）. MethodsA retrospective analysis was performed for 232 patients with unresectable HCC who were treated at The Fifth Medical Center of Chinese PLA General Hospital from January 2018 to December 2022， among whom 128 received cryoablation combined with lenvatinib （double combination） and 104 received cryoablation combined with lenvatinib and anti-PD-1 monoclonal antibody （triple combination）. Propensity score matching was performed at a ratio of 1∶1， and finally there were 86 patients in each group. The two groups were evaluated in terms of objective response rate （ORR）， disease control rate （DCR）， overall survival （OS）， progression-free survival （PFS）， and adverse events （AEs）. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. Survival curves were plotted， and the Kaplan-Meier method was used to calculate the survival rate of patients in both groups， while the log-rank test was used for comparison between the two groups. The Cox regression model was used to calculate hazard ratio （HR） and 95% confidence interval （CI） and perform the univariate and multivariate analyses of influencing factors for prognosis. ResultsThe median follow-up time was 28 months， and there were 33 deaths （38.0%） in the triple combination group and 40 deaths （46.0%） in the double combination group. Compared with the double combination group， the triple combination group had significantly higher ORR （35.6% vs 14.5%， P=0.008） and DCR （86.1% vs 64.1%， P=0.003）. OS and PFS in the triple combination group were significantly higher than those in the double combination group （P=0.045 and 0.026）. The univariate and multivariate Cox proportional-hazards regression model analyses showed that treatment regimen （HR=0.60， P=0.038） and alpha-fetoprotein level （HR=2.37， P=0.001） were independent risk factors for OS， and treatment regimen （HR=0.65， P=0.025）， diabetes mellitus （HR=1.94， P=0.005）， whether or not to have received local treatment （HR=0.63， P=0.014）， and distant metastasis （HR=0.58， P=0.009） were independent risk factors for PFS. There was no significant difference in the incidence rate of AEs between the two groups （P>0.05）. ConclusionFor patients with unresectable HCC， the triple combination of cryoablation， lenvatinib， and anti-PD-1 monoclonal antibody significantly improves the treatment outcome and survival of patients compared with the double combination of cryoablation and lenvatinib， without increasing AEs， which provides a clinical basis for optimizing the treatment regimen for unresectable HCC.

Objective To investigate the expression of lncRNA SNHG8 in placenta accrete(PA)and its effect on trophoblast invasion and migration.Methods qRT-PCR was used to detect the expression of lncRNA SNHG8 in placenta tissue of 30 cases in PA group and 30 cases in control group,and the correlation between lncRNA SNHG8 expression and prenatal ultrasound score of 30 cases in PA group was analyzed.Transwell and scratch assay were used to detect the effect of lncRNA SNHG8 interference on the invasion and migration of human chorionic trophoblast cells(HTR8/SVneo cells),and western blot was used to detect the expression of MMP-2 and MMP-9.The downstream targets of lncRNA SNHG8 were predicted by StarBase software,and the expression of lncRNA SNHG8 was detected in placental tissues of the two groups.Dual luciferase reporter assay was used to detect the targeting relationship between lncRNA SNHG8 and miR-542-3p.Results Compared with that of the control group,the expression of lncRNA SNHG8 was up-regulated in the placenta tissue of the PA group(P<0.05),and it was positively correlated with prenatal ultrasound score.Interference with lncRNA SNHG8 inhibited the invasion and migration of trophoblast cells(P<0.05);the protein expression of MMP-9 and MMP-2 also decreased signifi-cantly(P<0.05).Biological prediction indicates that miR-542-3p had a binding site with lncRNA SNHG8,and miR-542-3p expression was down-regulated in PA placental tissue(P<0.05).Dual luciferase reporter assay confirmed that lncRNA SNHG8 could target miR-542-3p.Compared with si-SNHG8+inhibitor-NC,co-transfection of si-SNHG8 and miR-542-3p inhibitor enhanced the invasion and migration ability of trophoblast cells(P<0.05).Conclusion lncRNA SNHG8 is highly expressed in PA and is related to the severity of PA.LncRNA SNHG8 promotes the invasion and migration of trophoblast by regulating the level of miR-542-3p.The study suggests that lncRNA SNHG8 plays an important role in the invasion and migration of PA trophoblast cells,which is expected to be a clinical diagnostic biomarker and therapeutic target.

Objective:To analyze the evaluation of the application effect and deficiency of nurses acting as standardized parents in the graduation examination of standardized residency training of pediatrics and further improve and promote the level of standardized parents.Methods:A questionnaire survey was used to collect the scores of nurse standardized parents by students and examiners who took part in the graduation examination of standardized residency training of pediatrics in 2021. And the self-evaluation scores of standardized parents were collected. Counting data were represented by the number of cases and composition ratio. A Chi-square test was used to compare the rates.Results:A total of 125 questionnaires from students and 37 questionnaires from nurse standardized parents were collected, and the overall satisfaction (very satisfied + satisfied) of standardized parents reached 121 (96.80%). In the three dimensions of simulation ability, compliance with question-and-answer rules, and simulated attitude, students believed that the consistency between standardized parents and actual parents in simulated altitude was lower than that in the simulation ability and compliance with question-and-answer rules ( P=0.007, P=0.001). The overall satisfaction of standardized parents (very satisfied + satisfied) reached 87.38% (388/444). There were 26 (70.27%) nurse standardized parents who had the lowest satisfaction with their own performance ability, followed by 28 (75.68%) cases of imitation ability and 30 (81.08%) cases of adaptability. Conclusions:It is feasible to adopt nurse standardized parents in the assessment of standardized residency training of pediatrics, and both students and examiners have higher satisfaction. The next step is to improve the training of nurses standardized parents in the attitude of simulation and, at the same time, enhance the training of imitation ability and adaptability, so as to further expand the construction of standardized parents.

Objective To establish the fingerprint map and method of multi-component content determination of ginger and its processed products,and to evaluate their quality. Methods High performance liquid chromatography (HPLC) was used to establish the fingerprint of ginger and its processed products (dried ginger,baked ginger,ginger charcoal) and the method for the simultaneous determination of content of five components. The data were analyzed by similarity evaluation and chemical pattern recognition. Results The fingerprint of ginger and its processed products was established. The similarity was ranged from 0.931 to 0.996. A total of 15 common peaks were confirmed. Five components (6-ginger phenol,8-ginger phenol,10-ginger phenol,6-ginger enol,zingiberone) were identified when compared with the standard. The content of 6-ginger phenol,8-ginger phenol and 10-ginger phenol in ginger and its processed products(dried ginger,baked ginger,ginger charcoal),which were determined by HPLC,met the standard of Chinese Pharmacopoeia(2020 edition). The content of 6-ginger enol and zingiberone in fresh ginger was very low,but their content increased significantly after processing into dried ginger and baked ginger. Ginger and its processed products can be divided into different category in cluster analysis. Five components with VIP greater than one were selected by orthogonal partial least squares discriminant analysis. Conclusion The HPLC fingerprint and assay method established in this study are specific,simple and feasible,stable and reliable. With the help of chemical pattern recognition method,it can provide reference for the quality evaluation of ginger and its processed products.

Objective To investigate the treatment of neonatal respiratory distress syndrome by less invasive surfactant administration(LISA)clinical efficacy,complications and influence on blood gas analysis.Methods A total of 100 cases of neonatal respiratory distress syndrome requiring pulmonary surfactant(PS)tracheal injection therapy and admitted to the Jinhua Central Hospital between December 1st 2019 and August 1st 2022 were randomly assigned into treatment group(50 cases)and control group(50 cases).The treatment group of children received PS treatment using LISA technology,while the control group of children received PS treatment using tracheal intubation tracheal instillation PS extubation followed by intubation-surfactant-extubation technology.The clinical treatment effect,blood gas analysis,non-invasive ventilation time,length of hospitalization,and incidence of complications were compared between the two groups.Results The total effective rate of treatment in the treatment group was higher than that in the control group;After 1 hour of PS treatment,the oxygen partial pressure and blood oxygen saturation of the treatment group were higher than those of the control group,while the carbon dioxide partial pressure was lower than that of the control group.The non-invasive assisted ventilation time of the treatment group was shorter than that of the control group.The incidence of bronchopulmonary dysplasia was lower than that of the control group.Their difference were statistically significant(P<0.05).Conclusion The use of LISA technology for PS treatment of NRDS can improve blood gas indicators,shorten non-invasive ventilation time,improve diagnostic and therapeutic effects,reduce the risk of bronchopulmonary dysplasia,and do not increase the incidence of complications such as tracheal mucosal injury and pulmonary hemorrhage in children.

Objective: To analyze the ear, nose, and throat exam of some freshmen in the military college entrance examination in Shandong Province in 2020 and to facilitate adolescent targeted health promotion. Methods: The 1 411 freshmen participating in the military college entrance examination in Jinan, Zibo and Weifang of Shandong Province were included. The ear, nose, and throat exam were performed by professionals using electric otoscope, 5 meter whispering test, and front rhinoscope. Results: Nasal septal deviation and hypertrophy of inferior turbinate accounted for the highest proportion. Among 489 cases of nasal septum deviation, the detection rate of Jinan (15.97%) was significantly lower than that of Weifang (43.60%) and Zibo (46.53%) ( χ 2=63.32， P <0.05). For deviation of nasal septum, the detection rate in students with urban residence (31.53%) was significantly lower than that of rural students (39.03%) ( χ 2=4.11， P <0.05). Seventy two cases of inferior turbinate hyperplasia were detected, and the detection rate in Jinan (2.99%) was significantly lower than that in Weifang (6.51%) and Zibo (6.04%) ( χ 2=6.63， P <0.05). The detection rate of tonsil hypertrophy was significantly lower in boys (4.63%), students from urban area (3.94%), compared with that of girls(9.56%) and rural students (6.70%) ( χ 2=5.35，4.86， P <0.05). In pharyngeal examination, tonsil hyperplasia was the most common condition of enlarged tonsils ( n =214), which was significantly higher in Jinan(22.36%) than that of Weifang (11.71 %) and Zibo (10.74%) ( χ 2=22.39， P <0.05), and was significantly lower in boys (14.38%) and rural students (12.40%) than that in girls (22.79%) and urban students (17.24%) ( χ 2=4.70，4.65， P <0.05). Conclusion Nasal septum deviation and tonsil hypertrophy are the most prevalent upper airway diseases among freshmen participating in the military college entrance examination. Prevention and treatment of nasopharynx diseases should be emphasized.