From gastric cancer prevention to global health care, this is the way to implementing artificial intelligence in medicine

doi:10.35713/aic.v7.i1.118079

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Artificial Intelligence in Cancer

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2644-3228

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

Artif Intell Cancer. Sep 8, 2026; 7(1): 118079
Published online Sep 8, 2026. doi: 10.35713/aic.v7.i1.118079

From gastric cancer prevention to global health care, this is the way to implementing artificial intelligence in medicine

Sergey M Kotelevets

Sergey M Kotelevets, Department of Propaedeutics of Internal Medicine, North Caucasus State Academy, Cherkessk 369000, Karachay-Cherkess Republic, Russia

Author contributions: Kotelevets SM contributed to this paper, designed the overall concept and outline of the manuscript, contributed to the design of the manuscript, contributed to the writing and editing the manuscript, illustrations, and review of literature.

Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.

Corresponding author: Sergey M Kotelevets, MD, Professor, Department of Propaedeutics of Internal Medicine, North Caucasus State Academy, Stavropolskaya Street 36, Cherkessk 369000, Karachay-Cherkess Republic, Russia. smkotelevets@mail.ru

Received: December 23, 2025
Revised: January 15, 2026
Accepted: February 3, 2026
Published online: September 8, 2026
Processing time: 253 Days and 15.8 Hours

Core Tip

Core Tip: Modern digital technologies can be applied in global healthcare. The introduction of deep machine learning has significantly increased the effectiveness of computer vision. Pathology recognition in endoscopic, radiological, and histological images holds promise in the diagnosis of internal diseases. Physical diagnostic methods (visual examination, palpation, percussion, and auscultation) using artificial intelligence (AI) have demonstrated high diagnostic effectiveness. Comparative studies of the effectiveness of human physicians and AI have a high level of evidence. Development of AI models for interviewing patients via correspondence or in a conversational format between a physician and a patient has begun.