AI in the diagnosis and management of gastric adenocarcinoma: A systematic review.
Gastric cancer (GC) has high mortality due to late diagnosis from nonspecific symptoms.
APA
Gómez Giménez I, Rubio Garcia JJ, et al. (2026). AI in the diagnosis and management of gastric adenocarcinoma: A systematic review.. Cirugia espanola, 104(3), 800276. https://doi.org/10.1016/j.cireng.2026.800276
MLA
Gómez Giménez I, et al.. "AI in the diagnosis and management of gastric adenocarcinoma: A systematic review.." Cirugia espanola, vol. 104, no. 3, 2026, pp. 800276.
PMID
41519260
Abstract
Gastric cancer (GC) has high mortality due to late diagnosis from nonspecific symptoms. Advances in diagnostics and artificial intelligence (AI) promise earlier detection through greater sensitivity and specificity. This study reviews literature, including meta-analyses and systematic reviews, on AI in gastric adenocarcinoma (GA). In December 2024, following PRISMA, we searched PubMed, Web of Science, and Cochrane. Seventeen of 228 articles met inclusion criteria, comparing AI with other diagnostic or therapeutic approaches. Findings indicate AI may enhance imaging, histological assessment, endoscopy techniques, and surgical procedures. Progressive hospital implementation could significantly transform GA diagnosis, treatment, and prognosis.
MeSH Terms
Humans; Stomach Neoplasms; Adenocarcinoma; Artificial Intelligence; Prognosis