Early diagnosis and treatment of gastrointestinal tumors are of great significance for improving patients' survival rate. However, traditional diagnostic method has problems such as insufficient accuracy and high missed diagnosis rates, while in terms of treatment, it faces challenges such as high surgical difficulty, a long learning curve, and time⁃consuming pathological evaluations. In recent years, application research on artificial intelligence technology in the early diagnosis and treatment of gastrointestinal tumors has been continuously deepened, showing great potential in improving diagnostic accuracy and treatment efficiency. This paper mainly introduces the application research progress of artificial intelligence in the early diagnosis of gastrointestinal tumors, endoscopic submucosal dissection, and postoperative pathological analysis, exploring the important role of artificial intelligence in improving diagnostic accuracy, reducing missed diagnoses, and optimizing therapeutic regimen, and analyzes the existing problems and future development directions.

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