J Dig Cancer Res.  2023 Dec;11(3):130-140. 10.52927/jdcr.2023.11.3.130.

Application of Artificial Intelligence in Gastric Cancer

• Lee JI

• KMID: 2549664
• DOI: http://doi.org/10.52927/jdcr.2023.11.3.130

Abstract

Gastric cancer (GC) is one of the most common malignant tumors worldwide, with a 5-year survival rate of < 40%. The diagnosis and treatment decisions of GC rely on human experts’ judgments on medical images; therefore, the accuracy can be hindered by image condition, objective criterion, limited experience, and interobserver discrepancy. In recent years, several applications of artificial intelligence (AI) have emerged in the GC field based on improvement of computational power and deep learning algorithms. AI can support various clinical practices in endoscopic examination, pathologic confirmation, radiologic staging, and prognosis prediction. This review has systematically summarized the current status of AI applications after a comprehensive literature search. Although the current approaches are challenged by data scarcity and poor interpretability, future directions of this field are likely to overcome the risk and enhance their accuracy and applicability in clinical practice.

Keyword

Stomach neoplasms; Artificial intelligence; Machine learning; Deep learning