Objective: To determine the glycemic index of common cereals and tubers products in China, and to examine the relationship among the response of blood glucose and the type of carbohydrate, food processing, and food digestion and absorption. Methods: 8-12 subjects in each group were assigned randomly. Fasting blood sugar was measured first and then 50 g glucose or the test meal was taken, and blood glucose was measured again 2 hours later.The food used in the test meal contained the carbohydrate content, equivalent to 50 g glucose according to the Table of Food Composition (1991). 50 g glucose was used as the control food. GI of test meal was calculated by Wolver method. Results:The study showed the glycemic index of common foods, including 9 sugars, 62 cereals and tubers products. Conclusion: The different foods with same amount of carbohydrate have different GI. The characteristics of starch and food processing are more important in predicting GI value, and GI varies also with the rate of starch digestion and hydrolysis in man.

Gastrointestinal stromal tumor(GIST),with a certain malignant potential,are currently the most common subepithelial tumors of the gastrointestinal tract.Early diagnosis and prediction of malignant potential are very important for the formulation of a treatment plan and determining the prognosis of GIST.Deep learning technology has made significant progress in the diagnosis of digestive tract diseases,and it can also effectively assist physicians in diagnosing GIST and predicting their malignant potential,preoperatively.The application of deep learning technology in the diagnosis of GIST includes CT,gastrointestinal endoscopy and endoscopic ultrasound.This paper aims to review the application of deep learning technology in the diagnosis and prediction of malignant potential of GIST.