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Articles Published Processes
9/2/2026 6:35:30 AM | Browse: 0 | Download: 0
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Received |
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2025-12-23 08:26 |
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Peer-Review Started |
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2025-12-23 08:26 |
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First Decision by Editorial Office Director |
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2026-01-06 09:53 |
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Return for Revision |
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2026-01-06 09:53 |
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Revised |
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2026-01-15 16:37 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-02-03 02:33 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-02-03 04:21 |
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Articles in Press |
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2026-02-03 04:21 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-03-13 01:57 |
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Publish the Manuscript Online |
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2026-09-02 06:35 |
| ISSN |
2644-3228 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
The Author(s) 2026. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| 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
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Sergey M Kotelevets |
| ORCID |
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| Funding Agency and Grant Number |
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| 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. |
| Publish Date |
2026-09-02 06:35 |
| 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; 7(1): 118079
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| URL |
https://www.wjgnet.com/2644-3228/full/v7/i1/118079.htm |
| DOI |
https://doi.org/10.35713/aic.v7.i1.118079 |
Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.