Objective To compare the performance of 7 Chinese-developed GenAI models (DeepSeek, Wenxin Yiyan, Tongyi, Doubao, Kimi, Hunyuan, and iFLYTEK Spark) in responding to common diseases of the pediatric genitourinary system and to explore their potential applications.Methods A total of 80 questions covering basic disease information, diagnosis, treatment, and prognosis related to “hypospadias, hydronephrosis, and cryptorchidism” were developed as prompts.The models were tested under 3 modes:“quick thinking, ”“deep thinking, ” and “deep thinking + internet access.” The results were evaluated in a blinded review by two pediatric urologists.The responses were graded into 4 levels—A, B, C, and D—based on accuracy, completeness, and relevance.The proportions of responses rated as A and A+B were statistically analyzed and compared across the different models/modes.Results The “deep thinking” mode of DeepSeek demonstrated the best performance, with 88% of responses rated as A and 96% rated as A+B.DeepSeek (deep thinking + internet access), Doubao (quick thinking), Hunyuan (deep thinking), and Doubao (deep thinking + internet access) followed closely, also showing excellent response capabilities.Among the top 5 models/modes, significant differences were observed in the proportion of Alevel responses (P＜0.05), while differences in the proportion of A+B-level responses were not statistically significant (P＞0.05).Conclusion Certain Chinese-developed GenAI models, represented by DeepSeek (deep thinking), demonstrate significant application potential.However, they still cannot consistently provide recommendations rated at the A+B level (recommended grade or higher) with 100% accuracy.In clinical practice, both doctors and patients should view GenAI as an auxiliary tool for education and information acquisition rather than as a final decision-making authority.All information must be reviewed and confirmed by professional physicians.

This article reports a 14-year-old boy who presented with "a nearly 7-year history of a right upper arm mass and a more than 1-year history of cervical lymphadenopathy". His main clinical manifestations included a subcutaneous mass in the right upper arm, bilateral eyelid and submandibular masses, and multiple enlarged cervical lymph nodes, accompanied by persistent peripheral blood eosinophilia. Biopsies of the right upper arm lesion and a left submandibular lymph node showed lymphoid hyperplasia with prominent eosinophilic infiltration, vascular and fibrous tissue proliferation, and eosinophilic microabscess formation in the left submandibular lymph node, confirming the diagnosis of Kimura′s disease. The lesions regressed markedly after glucocorticoid therapy but recurred after treatment discontinuation. Because the patient and his family were concerned about long-term glucocorticoid therapy, mepolizumab was subsequently administered. Peripheral eosinophil counts normalized, whereas the local tissue lesions showed limited improvement. A multidisciplinary team comprehensively evaluated the diagnosis, the need for repeat biopsy of atypical lymph nodes on imaging, the possible association between the cardiac valve abnormalities and the underlying disease, and subsequent treatment options. The patient is currently receiving methotrexate with folic acid supplementation and remains under regular follow-up. This case indicates that the diagnosis of Kimura′s disease relies on clinical manifestations and histopathological findings. Once diagnosed, comprehensive evaluation, individualized treatment, and long-term management should be implemented.

Periodontitis, a common chronic inflammatory disease, progressively damages the supporting tissues of teeth, ultimately resulting in tooth loss. The rising incidence of periodontitis in adults has prompted researchers to observe a frequent co-occurrence of mental health disorders (such as anxiety disorders, depression disorders) in patients undergoing periodontitis onset and treatment. The existence of severe periodontitis can even aggravate the mental and psychological disorders of patients. Furthermore, the long-term fast-paced, high-pressure modern life is easy to cause a series of psychological problems, in turn affecting the occurrence and development of periodontitis. At present, researchers have reported the correlation between periodontitis and anxiety disorders/depression disorders. However, due to the lack of systematic understanding, most of them are clinical investigations or epidemiological statistics without deep mechanism studies. In view of the above problems, this article elucidates the bidirectional relationship between periodontitis and depression/anxiety disorders in recent years by examining recent epidemiological findings, exploring potential bidirectional pathogenic mechanisms, and discussing current treatment strategies. Ultimately, this review seeks to provide new perspectives for improving both oral and mental health outcomes in patients affected by periodontitis and anxiety/depression disorders.

Objective To investigate the distribution of gender,age,and traditional Chinese medicine(TCM)syndrome elements and syndrome types in patients suffering from novel coronavirus infection complicated with asthma,and to explore the medication rules for the patients,thus to provide reference for the formulation of clinical diagnosis and treatment plans for novel coronavirus infection complicated with asthma.Methods From December 2022 to January 2023,the information of gender,age,syndrome elements,TCM syndrome types and medication frequency of the herbal medicine was collected among the patients suffering from novel coronavirus infection complicated with asthma who were treated in outpatient clinics of the respiratory department and emergency department of Shenzhen Traditional Chinese Medicine Hospital.The information data were statistically analyzed and then the network visualization of results was presented.Results A total of 63 cases were included,including 27 males and 36 females,with an average age of 51.8 years old.Thirteen TCM syndrome types were involved,of which the three with the leading occurrence frequency were wind-phlegm syndrome(17 cases),spleen deficiency with dampness accumulation syndrome(11 cases),and phlegm-heat stagnation in the lung syndrome(8 cases).There were four disease-location syndrome elements,and the top two were lung(36 cases)and spleen(12 cases).Eight disease-nature syndrome elements were involved,and the top three were wind(36 cases),phlegm(28 cases)and qi deficiency(24 cases).A total of 128 Chinese herbal medicines were used,and their properties and flavors were predomiated by being pungent,bitter,sweet and cold.Most of the Chinese herbal medicines had the meridian tropism of lung,spleen,liver and stomach meridians,and most of the Chinese herbal medicines had the therapeutic actions of resolving phlegm,easing cough and relieving asthma.The top four Chinese herbal medicines with higher medication frequency were Glycyrrhizae Radix et Rhizoma(51 times),Ephedrae Herba(47 times),blanching Armeniacae Semen Amarum(44 times),and Schisandrae Chinensis Fructus(40 times).The core two-drug groups were Ephedrae Herba-Glycyrrhizae Radix et Rhizoma,Ephedrae Herba-Schisandrae Chinensis Fructus,and blanching Armeniacae Semen Amarum-Pinelliae Rhizoma.The core three-drug groups were Pinelliae Rhizoma-blanching Armeniacae Semen Amarum-Ephedrae Herba,and Ephedrae Herba-Schisandrae Chinensis Fructus-Glycyrrhizae Radix et Rhizoma.Conclusion Pathogenic phlegm retention in lung is the core pathogenesis of novel coronavirus infection complicated with asthma,which is protracted through the disease.The pathogenic wind is the driving factor of the disease's development and progression,and in the middle and late stages of the disease,the complicated syndrome manifestations of pathogenic heat,qi deficiency,qi and yin deficiency,and blockage of upper orifice are commonly seen.Its therapeutic principles are to relieve exterior syndrome and clear heat,resolve phlegm,ease cough and relieve asthma,thus to restore the qi movement of the zang-fu organs,support the healthy qi,eliminate pathogens and strengthen body resistance.

Periodontitis, a common chronic inflammatory disease, progressively damages the supporting tissues of teeth, ultimately resulting in tooth loss. The rising incidence of periodontitis in adults has prompted researchers to observe a frequent co-occurrence of mental health disorders (such as anxiety disorders, depression disorders) in patients undergoing periodontitis onset and treatment. The existence of severe periodontitis can even aggravate the mental and psychological disorders of patients. Furthermore, the long-term fast-paced, high-pressure modern life is easy to cause a series of psychological problems, in turn affecting the occurrence and development of periodontitis. At present, researchers have reported the correlation between periodontitis and anxiety disorders/depression disorders. However, due to the lack of systematic understanding, most of them are clinical investigations or epidemiological statistics without deep mechanism studies. In view of the above problems, this article elucidates the bidirectional relationship between periodontitis and depression/anxiety disorders in recent years by examining recent epidemiological findings, exploring potential bidirectional pathogenic mechanisms, and discussing current treatment strategies. Ultimately, this review seeks to provide new perspectives for improving both oral and mental health outcomes in patients affected by periodontitis and anxiety/depression disorders.

Objective:To construct a nomogram model for predicting the incidence of hepatocellular carcinoma based on serum abnormal prothrombin and alpha-fetoprotein and evaluate the predictive effect.Methods:Retrospective analysis of data from 351 patients with liver disease who received treatment at the First Affiliated Hospital of Zhengzhou University from January 2021 to December 2023, including 285 males and 66 females, aged (52.9±11.9) years. Among the 351 patients, there were 229 cases (65.2%) of hepatocellular carcinoma, 87 cases (24.8%) of liver cirrhosis, and 35 cases (10.0%) of chronic hepatitis B. All patients were randomly divided into a training set ( n=245) and a testing set ( n=106) in a 7∶3 ratio without replacement sampling. The training set was used to construct the model, and the testing set was used to evaluate the model. At the same time, gender, age, disease type, and other indicators were compared between the two sets. The risk factors of hepatocellular carcinoma were analyzed by univariate and multivariate logistic regression based on the training set, and a nomogram was constructed to predict the incidence of hepatocellular carcinoma based on the multivariate results. Receiver operating characteristic (ROC) curve and calibration curve were used to evaluate the predictive performance of nomogram, and decision curve analysis was used to evaluate the clinical applicability of the model. Results:There was no statistically significant difference in age, gender, disease type, etc. between the training and testing sets of patients (all P>0.05). Univariate logistic regression analysis showed that age, abnormal prothrombin logarithm (LnPIVKA-Ⅱ), alpha-fetoprotein logarithm (LnAFP), and diabetes were associated with hepatocellular carcinoma (all P<0.05). Multivariate logistic regression analysis showed that older age ( OR=1.07, 95% CI: 1.03-1.12), higher LnPIVKA-Ⅱ ( OR=2.97, 95% CI: 1.97-4.46), higher LnAFP ( OR=1.43, 95% CI: 1.11-1.84) and diabetes ( OR=5.17, 95% CI: 1.02-26.17) were risk factors for hepatocellular carcinoma (all P<0.05). Based on the above variables, a nomogram model for predicting the incidence of hepatocellular carcinoma was constructed. The area under the ROC curve analysis of the nomogram for predicting the incidence of hepatocellular carcinoma was 0.920 (95% CI: 0.886-0.953) in the training set and 0.934 (95% CI: 0.891-0.977) in the testing set. The calibration curve fit well with the standard curve, and the prediction was basically consistent with the actual situation. The decision curve analysis showed that the net benefit of the model was greater than 0 under most thresholds (0.1-1.0). Conclusion:The nomogram constructed based on age, LnPIVKA-Ⅱ, LnAFP and diabetes can effectively predict the incidence of hepatocellular carcinoma and has clinical applicability.

Hepatocellular carcinoma （HCC） with biliary duct tumor thrombus （BDTT） is currently not common in clinical practice and is easily misdiagnosed， and previously， it was often considered an advanced stage of the disease with a poor prognosis， making its treatment challenging. However， in-depth studies in recent years have gradually deepened our understanding of this disease， leading to significant changes in diagnostic and treatment concepts. Currently， comprehensive treatment， mainly surgery， is used for treatment， but there is still controversy over the selection of clinical treatment strategies. This article provides a detailed discussion on surgical methods and prognosis， in order to provide a reference for clinical treatment options.

Objective:To construct a nomogram model for predicting the incidence of hepatocellular carcinoma based on serum abnormal prothrombin and alpha-fetoprotein and evaluate the predictive effect.Methods:Retrospective analysis of data from 351 patients with liver disease who received treatment at the First Affiliated Hospital of Zhengzhou University from January 2021 to December 2023, including 285 males and 66 females, aged (52.9±11.9) years. Among the 351 patients, there were 229 cases (65.2%) of hepatocellular carcinoma, 87 cases (24.8%) of liver cirrhosis, and 35 cases (10.0%) of chronic hepatitis B. All patients were randomly divided into a training set ( n=245) and a testing set ( n=106) in a 7∶3 ratio without replacement sampling. The training set was used to construct the model, and the testing set was used to evaluate the model. At the same time, gender, age, disease type, and other indicators were compared between the two sets. The risk factors of hepatocellular carcinoma were analyzed by univariate and multivariate logistic regression based on the training set, and a nomogram was constructed to predict the incidence of hepatocellular carcinoma based on the multivariate results. Receiver operating characteristic (ROC) curve and calibration curve were used to evaluate the predictive performance of nomogram, and decision curve analysis was used to evaluate the clinical applicability of the model. Results:There was no statistically significant difference in age, gender, disease type, etc. between the training and testing sets of patients (all P>0.05). Univariate logistic regression analysis showed that age, abnormal prothrombin logarithm (LnPIVKA-Ⅱ), alpha-fetoprotein logarithm (LnAFP), and diabetes were associated with hepatocellular carcinoma (all P<0.05). Multivariate logistic regression analysis showed that older age ( OR=1.07, 95% CI: 1.03-1.12), higher LnPIVKA-Ⅱ ( OR=2.97, 95% CI: 1.97-4.46), higher LnAFP ( OR=1.43, 95% CI: 1.11-1.84) and diabetes ( OR=5.17, 95% CI: 1.02-26.17) were risk factors for hepatocellular carcinoma (all P<0.05). Based on the above variables, a nomogram model for predicting the incidence of hepatocellular carcinoma was constructed. The area under the ROC curve analysis of the nomogram for predicting the incidence of hepatocellular carcinoma was 0.920 (95% CI: 0.886-0.953) in the training set and 0.934 (95% CI: 0.891-0.977) in the testing set. The calibration curve fit well with the standard curve, and the prediction was basically consistent with the actual situation. The decision curve analysis showed that the net benefit of the model was greater than 0 under most thresholds (0.1-1.0). Conclusion:The nomogram constructed based on age, LnPIVKA-Ⅱ, LnAFP and diabetes can effectively predict the incidence of hepatocellular carcinoma and has clinical applicability.

Objective To explore the automated identification and diameter measurement methods for inferior vena cava (IVC) based on clinical ultrasound images of IVC. Methods An automated identification and localization method based on topology and automatic tracking algorithm was proposed. Tracking algorithm was used for identifying and continuously locating to improve the efficiency and accuracy of measurement. Tests were conducted on 18 sets of ultrasound data collected from 18 patients in intensive care unit (ICU),with clinicians' measurements as the gold standard. Results The recognition accuracy of the automated method was 94.44％ (17/18),and the measurement error of IVC diameter was within the range of±1.96s (s was the standard deviation). The automated method could replace the manual method. Conclusion The proposed IVC automated identification and localization algorithm based on topology and automatic tracking algorithm has high recognition success rate and IVC diameter measurement accuracy. It can assist clinicians in identifying and locating IVC,so as to improve the accuracy of IVC measurement.

The research advancements in probes for deep-tissue imaging and adaptive optical imaging technologies are summarized,aiming to offer a new perspective for life science and interdisciplinary research.The review firstly gives an introduction on the probes emitting in the near-infrared-Ⅱ region,including fluorescence,bioluminescence,chemiluminescence,and persistent luminescence,and then elaborates direct sensing methods for rapid measurement and correction of wavefront distortions,as well as indirect sensing methods for correcting complex optical aberrations.The continuous updating of the above techniques and methods has enabled optical imaging to successfully penetrate deeper tissues with a remarkable reduction of background noise for higher image quality.