Esophagogastroduodenoscopy (EGD) screening is being implemented in countries with high incidence of upper gastrointestinal cancer. High‐quality EGD screening ensured the yield of early diagnosis, prevention suffering from advanced upper gastrointestinal cancer, and minimal operational related discomfort. However, the performance varied dramatically among endoscopists, and the quality control for EGD screening remains sub‐optimal. Guidelines have recommended potential measures for endoscopy quality improvement and researches have been conducted for evidence. Moreover, artificial intelligence (AI) offers a promising solution for computer‐aided diagnosis and quality control during EGD examinations recently. In this review, we summarized the key points for quality assurance in EGD screening based on current guidelines and evidences. We also concluded the latest evidence, limitations, and future prospects of the emerging role of AI in EGD quality control, aiming to provide the foundation for improving the quality of EGD screening.