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Biomedicines
Volume 13
Issue 12
10.3390/biomedicines13122939
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Review

Current Role of Artificial Intelligence in the Management of Gastric Cancer

by
Efstathia Liatsou
1,*,
Tatiana S. Driva
2,
Chrysovalantis Vergadis
3,
Stratigoula Sakellariou
2,
Panagis Lykoudis
4,
Konstantinos G. Apostolou
5,
Dimitrios Tsapralis
6 and
Dimitrios Schizas
5
1
Department of Surgery, Sahlgrenska University Hospital, 41345 Gothenburg, Sweden
2
First Department of Surgery, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
3
Third Department of Radiology, Laikon General Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece
4
Fourth Department of Surgery, Attikon University Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece
5
First Department of Surgery, Laikon General Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece
6
Department of Surgery, General Hospital of Ierapetra, 72200 Ierapetra, Greece
*
Author to whom correspondence should be addressed.
Biomedicines 2025, 13(12), 2939; https://doi.org/10.3390/biomedicines13122939 (registering DOI)
Submission received: 25 September 2025 / Revised: 9 November 2025 / Accepted: 21 November 2025 / Published: 29 November 2025
(This article belongs to the Special Issue New Insights in Gastric, Colorectal, and Pancreatic Cancer)
Versions Notes

Abstract

Background/Objectives: In the era of precision medicine in gastric cancer, artificial intelligence has emerged as a tool in diagnosis, prognostic stratification, and clinical management. The role of big data analysis leveraging complex databases has been rapidly developing, thus challenging physicians to interpret and apply them in clinical practice. The aim of this comprehensive review is to present the current trends in the use of artificial intelligence in the field of diagnosis, histopathological evaluation, and clinical prognosis of gastric tumors. Methods: We screened the PubMed and MEDLINE databases for the latest studies with the development and evaluation of artificial intelligence algorithms in gastric cancer. Different sorts of deep learning protocols were explored, and their standardized applications are presented herein. Results: A broad spectrum of AΙ-based models extending from the surveillance of high-risk subepithelial lesions to the precise molecular characterization of tumors and treatment management are gaining space in clinical practice. However, all current studies are lacking a randomized design at the large-population scale, which is required to further integrate machine learning algorithms into standard clinical care. Conclusions: Despite the remaining challenges of data quality, algorithm improvement, and outcome interpretation, there is promising evidence that artificial intelligence can revolutionize gastric cancer management. There is a need to develop AI algorithms based on big data sources that must consequently be evaluated in randomized multicenter studies.
Keywords: artificial intelligence; deep learning; gastric cancer artificial intelligence; deep learning; gastric cancer

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MDPI and ACS Style

Liatsou, E.; Driva, T.S.; Vergadis, C.; Sakellariou, S.; Lykoudis, P.; Apostolou, K.G.; Tsapralis, D.; Schizas, D. Current Role of Artificial Intelligence in the Management of Gastric Cancer. Biomedicines 2025, 13, 2939. https://doi.org/10.3390/biomedicines13122939

AMA Style

Liatsou E, Driva TS, Vergadis C, Sakellariou S, Lykoudis P, Apostolou KG, Tsapralis D, Schizas D. Current Role of Artificial Intelligence in the Management of Gastric Cancer. Biomedicines. 2025; 13(12):2939. https://doi.org/10.3390/biomedicines13122939

Chicago/Turabian Style

Liatsou, Efstathia, Tatiana S. Driva, Chrysovalantis Vergadis, Stratigoula Sakellariou, Panagis Lykoudis, Konstantinos G. Apostolou, Dimitrios Tsapralis, and Dimitrios Schizas. 2025. "Current Role of Artificial Intelligence in the Management of Gastric Cancer" Biomedicines 13, no. 12: 2939. https://doi.org/10.3390/biomedicines13122939

APA Style

Liatsou, E., Driva, T. S., Vergadis, C., Sakellariou, S., Lykoudis, P., Apostolou, K. G., Tsapralis, D., & Schizas, D. (2025). Current Role of Artificial Intelligence in the Management of Gastric Cancer. Biomedicines, 13(12), 2939. https://doi.org/10.3390/biomedicines13122939

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