Application of deep learning in the diagnosis of gastrointestinal diseases

With the rapid development of artificial intelligence, deep learning technology has been widely applied across various fields. In the medical field, deep learning models, by analyzing medical images and clinical data, can automatically detect features of different types of lesions, such as polyps, ulcers, and cancers, thereby assisting physicians in early diagnosis of disease. This review provides an overview of recent progress in applying deep learning for disease diagnosis in various parts of the gastrointestinal tract, including the esophagus, stomach, small intestine, and colon. It also discusses the challenges and potential future directions for deep learning in this field.