Validation and application of an artificial intelligence robot assisted diagnosis system for diabetic retinopathy / 中华实验眼科杂志

Objective To evaluate the performance of an artificial intelligence ( AI ) assisted diagnosis system for diabetic retinopathy ( DR) based on deep learning theory. Methods Diagnostic performance of a robot assisted diagnosis system called SongYue for DR was trained by using 25297 retinal images tagged by fundus doctors from multiple hospitals in China. Four types of DR detection model consisting of abnormal DR,referable DR,severe non-proliferative and proliferative DR as well as proliferative DR according to fundus leisions identification were established. The ability of the system to distinguish DR was determined by using receiver operator characteristic (ROC) analysis,sensitivity and specificity of the system. Results SongYue system achieved an area under the ROC curve ( AUC) of 0. 920 for successfully distinguishing normal images from those DR with a sensitivity of 96. 0％at a specificity of 87. 9％. The AUC of SongYue for referable DR was 0. 925,sensitivity was 90. 4％,and specificity was 95. 2％. For severe non-proliferative and proliferative DR,AUC was 0. 845,sensitivity was 72. 7％,and specificity was 96. 2％. For proliferative DR, AUC was 0. 855, sensitivity was 73. 5％, and specificity was 97. 3％. Conclusions SongYue robot assisted diagnosis system has high AUC,sensitivity and specificity for identifying DR, showing good clinical applicable benefits.

Expression of imprinted gene PEG10 in human gastric adenocarcinoma tissues and significance / 吉林大学学报(医学版)

Objective To investigate the expression of a novel imprinted gene,PEG10,in human gastric adenocarcinoma,and the effect of PEG10 on cell growth and proliferation of gastric cancer cells.Methods The PEG10 mRNA expressions in 40 human gastric adenocarcinoma,the corresponding adjacent normal tissues and 6 nomal gastric tissues were detected by RT-PCR.The expression vectors of PEG10 were constructed and transfected into gastric cancer cell line MKN45 which had no endogenetic PEG10 expression.Cell growth ability was measured by MTT assay.Results High PEG10 mRNA expression level was detected in 9 of 20(45.0%) human gastric adenocarcinoma which was significantly higher than those of the matched normal tissues(10.0%)(P