Publication Name	Artificial Intelligence in Cancer
Manuscript ID	118079
Country	Russia

Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	From gastric cancer prevention to global health care, this is the way to implementing artificial intelligence in medicine
Manuscript Source	Invited Manuscript
All Author List	Sergey M Kotelevets
Funding Agency and Grant Number
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
Key Words	Artificial intelligence; Deep machine learning; X-ray computer images; Magnetic resonance images; Endoscopic; Histological patterns; Targeted treatment; Robot-associated surgery
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.
Citation	Kotelevets SM. From gastric cancer prevention to global health care, this is the way to implementing artificial intelligence in medicine. Artif Intell Cancer 2026; In press

Received	2025-12-23 08:26
Peer-Review Started	2025-12-23 08:26
First Decision by Editorial Office Director	2026-01-06 09:53
Return for Revision	2026-01-06 09:53
Revised	2026-01-15 16:37
Publication Fee Transferred
Second Decision by Editor	2026-02-03 02:33
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-02-03 04:21
Articles in Press	2026-02-03 04:21
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2644-3228 (online)
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