Application status of artificial intelligence in capsule endoscopy
Capsule endoscopy(CE)is the main method for detecting small intestinal lesions.However,a single examination produces about 60 000 images,which is time-consuming and tedious to screen images of lesions.It is also influenced by the experience and professional technical level of physicians,which can easily lead to missed diagnosis.In recent years,artificial intelligence(AI)has gradually penetrated the medical field.The deep learning(DL)model represented by convolutional neural network(CNN)has fast recognition ability for lesions,which can effectively reduce the missed diagnosis rate and improve the diagnosis rate of lesions.This article reviews the application status of AI technology in CE for image recognition,providing reference for its continuous development in the field of CE.