With recent significant improvements in artificial intelligence (AI), especially in the field of
deep learning, an increasing number of studies have evaluated the use of AI in endoscopy
to detect and diagnose gastrointestinal (GI) lesions. The present review summarizes current
publications on the use of AI in GI endoscopy and focuses on the challenges and future of AI‐
aided systems. We expect AI to provide an effective and practical method for endoscopists in
lesion detection and characterization as well as in quality control in endoscopy. However, so …

Artificial intelligence (AI), also known as computer-aided diagnosis, is a technology that
enables machines to process information and functions at or above human level and has
great potential in gastrointestinal endoscopy applications. At present, the research on
medical image recognition usually adopts the deep-learning algorithm based on the
convolutional neural network. AI has been used in gastrointestinal endoscopy including
esophagogastroduodenoscopy, capsule endoscopy, colonoscopy, etc. AI can help …