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Cirugía Española (English Edition) AI in the diagnosis and management of gastric adenocarcinoma: A systematic revie...
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Review article

AI in the diagnosis and management of gastric adenocarcinoma: A systematic review

IA en el diagnóstico y manejo del adenocarcinoma gástrico: revisión sistemática
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Ismael Gómez Giméneza,
Corresponding author
ismagg@hotmail.es

Corresponding author.
, Juan Jesús Rubio Garciaa,b, Silvia Carbonell Morotea,b, José Manuel Ramia Ángela,b,c
a Departamento de cirugía general, Hospital General Universitario de Alicante Dr. Balmis, 03010 Alicante, Spain
b ISABIAL: Instituto de Investigación Sanitaria y Biomédica, 03010 Alicante, Spain
c Departamento de cirugía, Universidad Miguel Hernández, 03202 Alicante, Spain
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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.

Keywords:
Artificial intelligence
AI
Deep learning machine
Gastric cancer
Gastric adenocarcinoma
Endoscopy
Radiomics
Resumen

El cáncer gástrico (CG) presenta alta mortalidad por diagnóstico tardío debido a síntomas inespecíficos. Los avances diagnósticos y la inteligencia artificial (IA) prometen mejorar la detección precoz mediante mayor sensibilidad y especificidad. Este trabajo revisa la literatura, incluyendo metaanálisis y revisiones sistemáticas, sobre el papel de la IA en el adenocarcinoma gástrico (AG). En diciembre de 2024, siguiendo PRISMA, se realizó una búsqueda en PubMed, Web of Science y Cochrane. Se incluyeron 17 de 228 artículos, comparando IA con otras modalidades diagnósticas o terapéuticas. Los hallazgos muestran que la IA puede optimizar pruebas de imagen, evaluaciones histológicas, técnicas endoscópicas y procedimientos quirúrgicos. La implementación progresiva en hospitales podría transformar el diagnóstico, tratamiento y pronóstico del AG.

Palabras clave:
Inteligencia artificial
IA
Máquina de aprendizaje profundo
Cáncer gástrico
Adenocarcinoma gástrico
Endoscopia
Radiómica
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