Objective To explore the clinical value of artificial intelligence (AI) quantitative parameters in distinguishing pathological grades of stageⅠ invasive adenocarcinoma (IAC). Methods Clinical data of patients with clinical stageⅠ IAC admitted to Yantaishan Hospital Affiliated to Binzhou Medical University from October 2018 to May 2023 were retrospectively analyzed. Based on the 2021 WHO pathological grading criteria for lung adenocarcinoma, IAC was divided into gradeⅠ, grade Ⅱ, and grade Ⅲ. The differences in parameters among the groups were compared, and logistic regression analysis was used to evaluate the predictive efficacy of AI quantitative parameters for grade Ⅲ IAC patients. Parameters were screened using least absolute shrinkage and selection operator (LASSO) regression analysis. Three machine learning models were constructed based on these parameters to predict grade Ⅲ IAC and were internally validated to assess their efficacy. Nomograms were used for visualization. Results A total of 261 IAC patients were included, including 101 males and 160 females, with an average age of 27-88 (61.96±9.17) years. Six patients had dual primary lesions, and different lesions from the same patient were analyzed as independent samples. There were 48 patients of gradeⅠ IAC, 89 patients of grade Ⅱ IAC, and 130 patients of grade Ⅲ IAC. There were statitical differences in the AI quantitive parameters such as consolidation/tumor ratio (CTR), ect among the three goups. (P<0.05). Univariate analysis showed that the differences in all variables except age were statistically significant (P<0.05) between the group gradeⅠ+grade Ⅱand the group grade Ⅲ . Multivariate analysis suggested that CTR and CT standard deviation were independent risk factors for identifying grade Ⅲ IAC, and the two were negatively correlated. Grade Ⅲ IAC exhibited advanced TNM staging, more pathological high-risk factors, higher lymph node metastasis rate, and higher proportion of advanced structure. CTR was positively correlated with the proportion of advanced structures in all patients. This correlation was also observed in grade Ⅲ but not in gradeⅠand grade ⅡIAC. CTR and CT median value were selected by using LASSO regression. Logistic regression, random forest, and XGBoost models were constructed and validated, among which, the XGBoost model demonstrated the best predictive performance. Conclusion Cautious consideration should be given to grade Ⅲ IAC when CTR is higher than 39.48% and CT standard deviation is less than 122.75 HU. The XGBoost model based on combined CTR and CT median value has good predictive efficacy for grade Ⅲ IAC, aiding clinicians in making personalized clinical decisions.

Objective To investigate the relationship between thyroid function and brain volume in patients with Alzheimer's disease(AD).Methods A total of 64 AD patients(AD group)and 36 patients with mild cognitive impairment(MCI group)admitted in our department from January 2020 to March 2022 were enrolled in this study.Another 19 healthy individuals who had no cogni-tive impairment or psychiatric disorders were enrolled and served as normal control group.Their levels of free triiodothyronine(FT3),free thyroxine(FT4)and thyroid stimulating hormone(TSH)were detected by electrochemical luminescence assay.Results FT3 level was significantly decreased in the MCI group and AD group than the normal control group[2.50(2.28,2.60)ng/L and 2.07(1.97,2.30)ng/L vs 2.76(2.55,2.93)ng/L,P＜0.05],and the decrease in the AD group was more obvious than that in the MCI group.The volumes of the midbrain,pons,medulla oblon-gata,hippocampus,amygdala and temporal lobe were significantly smaller in the AD group than the MCI group(P＜0.05,P＜0.01).Spearman correlation analysis and multivariate linear regres-sion analysis showed that in the AD patients,FT3 and FT4 levels were positively while TSH level was negatively correlated with the volumes of both right and left hippocampus and amygdala(P＜0.05,P＜0.01),and TSH level was also negatively correlated with the left temporal lobe volume(P＜0.05).Conclusion Thyroid dysfunction is associated with reduced brain volume in AD patietns,and may contribute to the progression of AD cognitive dysfunction and brain atrophy.

The Remote Medical Platform of Cloud Women and Children Health Care in Hubei Province is the key to improve the capacity building of maternal and child health care institutions,and is an important way to implement hierarchical diagnosis and treatment with the help of Internet+.After a brief analysis of the current situation and demand for maternal and child resources,it introduces the architecture and functions of the platform,and elaborates on the effectiveness of the application.In the end,putting forward relevant suggestions for future development based on the problems in application.

The Remote Medical Platform of Cloud Women and Children Health Care in Hubei Province is the key to improve the capacity building of maternal and child health care institutions,and is an important way to implement hierarchical diagnosis and treatment with the help of Internet+.After a brief analysis of the current situation and demand for maternal and child resources,it introduces the architecture and functions of the platform,and elaborates on the effectiveness of the application.In the end,putting forward relevant suggestions for future development based on the problems in application.

The Remote Medical Platform of Cloud Women and Children Health Care in Hubei Province is the key to improve the capacity building of maternal and child health care institutions,and is an important way to implement hierarchical diagnosis and treatment with the help of Internet+.After a brief analysis of the current situation and demand for maternal and child resources,it introduces the architecture and functions of the platform,and elaborates on the effectiveness of the application.In the end,putting forward relevant suggestions for future development based on the problems in application.

The Remote Medical Platform of Cloud Women and Children Health Care in Hubei Province is the key to improve the capacity building of maternal and child health care institutions,and is an important way to implement hierarchical diagnosis and treatment with the help of Internet+.After a brief analysis of the current situation and demand for maternal and child resources,it introduces the architecture and functions of the platform,and elaborates on the effectiveness of the application.In the end,putting forward relevant suggestions for future development based on the problems in application.

The Remote Medical Platform of Cloud Women and Children Health Care in Hubei Province is the key to improve the capacity building of maternal and child health care institutions,and is an important way to implement hierarchical diagnosis and treatment with the help of Internet+.After a brief analysis of the current situation and demand for maternal and child resources,it introduces the architecture and functions of the platform,and elaborates on the effectiveness of the application.In the end,putting forward relevant suggestions for future development based on the problems in application.

The Remote Medical Platform of Cloud Women and Children Health Care in Hubei Province is the key to improve the capacity building of maternal and child health care institutions,and is an important way to implement hierarchical diagnosis and treatment with the help of Internet+.After a brief analysis of the current situation and demand for maternal and child resources,it introduces the architecture and functions of the platform,and elaborates on the effectiveness of the application.In the end,putting forward relevant suggestions for future development based on the problems in application.

The Remote Medical Platform of Cloud Women and Children Health Care in Hubei Province is the key to improve the capacity building of maternal and child health care institutions,and is an important way to implement hierarchical diagnosis and treatment with the help of Internet+.After a brief analysis of the current situation and demand for maternal and child resources,it introduces the architecture and functions of the platform,and elaborates on the effectiveness of the application.In the end,putting forward relevant suggestions for future development based on the problems in application.

The Remote Medical Platform of Cloud Women and Children Health Care in Hubei Province is the key to improve the capacity building of maternal and child health care institutions,and is an important way to implement hierarchical diagnosis and treatment with the help of Internet+.After a brief analysis of the current situation and demand for maternal and child resources,it introduces the architecture and functions of the platform,and elaborates on the effectiveness of the application.In the end,putting forward relevant suggestions for future development based on the problems in application.