Peshevska-Sekulovska M, Velikova TV, Peruhova M. Artificial intelligence assisted endocytoscopy: A novel eye in endoscopy. Artif Intell Gastrointest Endosc 2020; 1(3): 44-52 [DOI: 10.37126/aige.v1.i3.44]
Corresponding Author of This Article
Milena Peruhova, MD, Chief Doctor, Department of Gastroenterology, University Hospital Lozenetz, Kozyak 1 str., Sofia 1407, Bulgaria. mperuhova@gmail.com
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Minireviews
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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: http://creativecommons.org/licenses/by-nc/4.0/
Monika Peshevska-Sekulovska, Milena Peruhova, Department of Gastroenterology, University Hospital Lozenetz, Sofia 1407, Bulgaria
Tsvetelina Veselinova Velikova, Department of Clinical Immunology, University Hospital Lozenetz, Sofia 1407, Bulgaria
Tsvetelina Veselinova Velikova, Milena Peruhova, Medical Faculty, Sofia University, St. Kliment Ohridski, Sofia 1407, Bulgaria
Author contributions: Peshevska-Sekulovska M and Peruhova M wrote the draft of the manuscript; all the authors wrote additional sections in the paper, revised and approved the final version of the manuscript.
Conflict-of-interest statement: Authors declare no conflict of interest for this article.
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: http://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Milena Peruhova, MD, Chief Doctor, Department of Gastroenterology, University Hospital Lozenetz, Kozyak 1 str., Sofia 1407, Bulgaria. mperuhova@gmail.com
Received: November 1, 2020 Peer-review started: November 1, 2020 First decision: November 25, 2020 Revised: November 29, 2020 Accepted: December 6, 2020 Article in press: December 6, 2020 Published online: December 28, 2020
Core Tip
Core Tip: The possibility of obtaining "real-time histology" by endocytoscopy (EC) provides a time-saving and low-cost high-quality diagnosing process. It provides detailed detection and characterizations of gastrointestinal neoplasms, where EC defines the degree of neoplastic cellular transformation by visualizing variation in cell size, disorders of polarity, and nuclei deformity. Moreover, the EC system can evaluate the depth of cancer invasion and predict the therapeutic outcome. In line with this, one of the significant benefits from artificial intelligence (AI)-supported EC is avoiding unnecessary polypectomies and other pathological examinations and reducing redundant surgical procedures. Another major benefit of AI-assisted EC is to ensure enhanced delineation between benign and neoplastic colonic lesions. Furthermore, emerging EC-computer-aided diagnosis provides a novel endoscopic tool that contributes to the dramatic improvement of inflammatory bowel disease diagnosing and management.
