Abstract: Gastric cancer(GC) ranks among the most prevalent cancers and is a leading cause of cancer‑related mortality globally. Recently, artificial intelligence(AI) has enhanced the dia-gnosis and treatment of GC, as well as the accuracy and sensitivity of personalized treatment strategies due to its efficient computational and learning capabilities. The authors review the clinical applications of AI-based medical imaging and digital pathology in GC diagnosis and treatment, inclu-ding early screening and diagnosis, differential diagnosis, lymph node and peritoneal metastasis, molecular typing, monitoring of treatment efficacy, and prognostic assessment. In addition, future directions and challenges in the field are discussed, emphasizing the importance of integrating AI technology into clinical practice.