Objective: To quantitatively analyze the chest computerized tomography ( CT ) images of coronavirus disease 2019 ( COVID-19 ) cases by automatic artificial intelligence ( AI ) system, so as to provide the basis for the prediction of severe cases and early clinical intervention. Methods: Eighty-three confirmed cases of COVID-19 from January 23 to February 14, 2020 in Wuchang Hospital of Wuhan were selected and the clinical data were collected. According to the diagnosis and treatment Plan of COVID-19 (seventh trial), the patients were divided into an ordinary group and a severe group. The parameters of chest CT images were quantified by the automatic AI system, and the CT imaging features of two groups were compared. Results: There were 46 cases in the ordinary group and 37 cases in the severe group, with the age of ( 62.68 ±13.69 ) years and ( 50.52 ±12.45 ) years, respectively. The percentages of total pulmonary lesions, the lesion volume of bilateral lungs, the lesion volume of right lower lung, the left lung volume and the right lung volume from -300 to -200 Hu [median (inter-quartile range)] were 19.80% ( 21.69% ), 622.87 ( 1 145.73 ) cm3, 205.73 ( 246.95 ) cm3, 26.50 (21.20) cm3 and 38.02 (48.78) cm3 in the severe group, which were significantly different from 9.78% ( 13.24% ), 333.55 ( 401.77 ) cm3, 126.02 (164.21) cm3, 21.43 (13.11) cm3 and 26.92 ( 18.04 ) cm3 in the ordinary group ( P<0.05 ). The volume of pulmonary lesions reached the peak from 10 to 16 days after infection. Conclusion The lung lesions in severe cases of COVID-19 are large, especially in the right lower lung, and need to be closely monitored from 10 to 16 days after infection for early warning of severe cases.

ObjectiveTo explore the association between total iron， iron supplements， dietary total iron， heme iron intake and the risk of gestational diabetes mellitus（GDM）. MethodsA total of 668 pregnant women who gave birth in one hospital in Shanghai during January 2020 to July 2021 were included in a retrospective cohort study. Baseline characteristics and data of iron supplements in second trimester were collected through a questionnaire. A simplified dietary frequency questionnaire was used to quantify the food intake in second trimester. Total iron， iron supplements， dietary total iron， and heme iron intake was classified into groups by quintile and median. The association between iron intake from different sources and risk of GDM was determined using logistic regression analysis. ResultsAfter correction for age， family history of diabetes， overweight / obesity before pregnancy， hemoglobin（Hb）in first trimester， energy， carbohydrate energy， protein， and free sugar， it showed no association between total iron intake and risk of GDM （P>0.05）， while elevated risk of GDM among women with high iron supplements intake （OR=1.65； 95%CI： 1.14‒2.39）， and decreased risk of GDM among those with high dietary total iron intake （OR=0.53； 95%CI： 0.35‒0.81）. However， no association was found between heme iron intake and risk of GDM （P>0.05）. ConclusionHigh dietary total iron intake may be a protective factor， while high iron supplements may be a risk factor for GDM. It suggests that pregnant women should carefully choose high-dose iron-containing supplements in the absence of iron deficiency， as dietary iron intake should be the priority.

【Objective:】 Using classic moral dilemma cases, this paper investigates the choice tendency of medical students when facing the moral dilemma, and analyzes their cognitive status and characteristics when facing the "moral dilemma", in order to provide effective enlightenment for optimizing the teaching cases of medical ethics. 【 Method:】 771 medical students in Shanghai Jiao Tong University School of Medicine were investigated by electronic questionnaire and SPSS 20.0 for statistical description and statistical analysis. 【Result:】 In the emergency room doctors and transition scenes, medical students tend to the principle of maximum happiness, and in the ring track scene and pedestrian overpass scene, they tend to the principle of deontology; In the loop track scene and pedestrian overpass scene, boys are more inclined to deontological principles than girls, and undergraduates are more inclined to deontological principles than postgraduates, and the difference is statistically significant (P<0.05). 【Conclusion:】 Although medical students have different moral tendencies in different scenes, they generally do not agree with the practice of sacrificing one person to save five people. Especially when more rigorous sacrifice conditions cause greater moral pressure, the vast majority of medical students will tend to the latter between utilitarianism and deontological principles.

Objective To compare the difference of diagnostic ability between ultrasound radiomics ( USR) and different conventional imaging models of central neck ( Ⅵ ) lymph node metastasis in papillary thyroid carcinoma ( PTC) . Methods A training set of 609 cases was set up . USR features were extracted and screened by USR method . A weighted formula was established to calculate the USR score of each patient by ultrasound image . T he USR score of the best diagnostic ability was obtained by statistical method and set as the diagnostic criterion . A test set of 326 cases was established to compare the diagnostic ability of USR score with ultrasound ( US ) ,computed tomography ( CT ) and US combined CT . Results T he accuracy ,sensitivity ,specificity ,area under ROC curve and Youden index of USR score in test set were 0 .804 ,0 .867 ,0 .770 ,0 .766 ,0 .533 ,respectively ,which were significantly higher than the corresponding values of US ,CT and US combined CT ( all P ＝ 0 .000 ) . Conclusions USR score obtained with USR method can effectively predict lymph node metastasis in Ⅵ region of PTC . T he diagnostic efficiency and clinical value of USR score were significantly higher than those of conventional medical imaging models .

Objective To evaluate the association between quantitative ultrasonographic features and clinical ,pathological and immunohistochemical features of triple negative invasive breast carcinoma( TNBC) . Methods With the ethical approval , 96 patients who were pathologically confirmed as TNBC were retrospectively reviewed . All patients were sub-grouped according to age ,tumor size ,pathological grade , Ki67 expression level and human epidermal growth factor receptor 2 ( HER-2) score .Ultrasound images were segmented for the breast carcinoma mass using a phase-based active contour model . The high-throughput radiomics features were extracted based on the two-dimensional sonographic features . There were 460 features extracted from each ultrasound image . A series of computer aided algorithms including K-svd algorithm ,sparse representation ,support vector machine ( SVM ) and radial basis function were used to determine the high-throughput sonographic features that were highly correlated to clinical ,pathological and immunohistochemical features of TNBC . The performance efficacy was expressed by accuracy and area under curve ( AUC) of the ROC curve . Results The high-throughput ultrasonographic features of invasive TNBC could predict its pathological grade ,Ki67 level and HER-2 score with the accuracy 92 .2％ -96 .9％and AUC 98 .7％ -99 .9％ . There were 82 radiomics features selected for predicting the pathological grade of TNBC , the feature with the maximum weight was the elliptic-normalized eccentricity based on morphological features . There were 100 features selected for predicting the Ki67 expression level ,the feature with the maximum weight was the standard deviation of the annular region based on the boundary texture features . There were 85 features selected for the prediction of HER-2 score ,the most powerful parameter was the intensity based on NGTDM texture features . Conclusions Quantitative high-throughput ultrasonographic features are correlated with the pathological and immunohistochemical characteristics of invasive TNBC . High-throughput ultrasonographic features are valuable in predicting biological behavior of TNBC .

Minimally invasive surgery, including laparoscopic and thoracoscopic procedures, benefits patients in terms of improved postoperative outcomes and short recovery time. The challenges in hand-eye coordination and manipulation dexterity during the aforementioned procedures have inspired an enormous wave of developments on surgical robotic systems to assist keyhole and endoscopic procedures in the past decades. This paper presents a systematic review of the state-of-the-art systems, picturing a detailed landscape of the system configurations, actuation schemes, and control approaches of the existing surgical robotic systems for keyhole and endoscopic procedures. The development challenges and future perspectives are discussed in depth to point out the need for new enabling technologies and inspire future researches.

Objective: To compare the difference of diagnostic ability between ultrasound radiomics (USR) and different conventional imaging models of central neck (Ⅵ) lymph node metastasis in papillary thyroid carcinoma (PTC). Methods: A training set of 609 cases was set up. USR features were extracted and screened by USR method. A weighted formula was established to calculate the USR score of each patient by ultrasound image. The USR score of the best diagnostic ability was obtained by statistical method and set as the diagnostic criterion. A test set of 326 cases was established to compare the diagnostic ability of USR score with ultrasound (US), computed tomography (CT) and US combined CT. Results: The accuracy, sensitivity, specificity, area under ROC curve and Youden index of USR score in test set were 0.804, 0.867, 0.770, 0.766, 0.533, respectively, which were significantly higher than the corresponding values of US, CT and US combined CT(all P=0.000). Conclusions USR score obtained with USR method can effectively predict lymph node metastasis in Ⅵ region of PTC. The diagnostic efficiency and clinical value of USR score were significantly higher than those of conventional medical imaging models.