Wang KW, Dong M. Potential applications of artificial intelligence in colorectal polyps and cancer: Recent advances and prospects. World J Gastroenterol 2020; 26(34): 5090-5100 [PMID: 32982111 DOI: 10.3748/wjg.v26.i34.5090]
Corresponding Author of This Article
Ke-Wei Wang, MD, PhD, Associate Professor, Surgeon, Department of Gastrointestinal Surgery, the First Affiliated Hospital of China Medical University, No. 155 Nanjing North Street, Shenyang 110001, Liaoning Province, China. kwwang@cmu.edu.cn
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/
World J Gastroenterol. Sep 14, 2020; 26(34): 5090-5100 Published online Sep 14, 2020. doi: 10.3748/wjg.v26.i34.5090
Potential applications of artificial intelligence in colorectal polyps and cancer: Recent advances and prospects
Ke-Wei Wang, Ming Dong
Ke-Wei Wang, Ming Dong, Department of Gastrointestinal Surgery, the First Affiliated Hospital of China Medical University, Shenyang 110001, Liaoning Province, China
Author contributions: Wang KW designed the study, searched the literature for recent advances in the field, and wrote the manuscript; Dong M edited and revised the manuscript; both authors approved the final version to be published.
Conflict-of-interest statement: No potential conflicts of interest declared.
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: Ke-Wei Wang, MD, PhD, Associate Professor, Surgeon, Department of Gastrointestinal Surgery, the First Affiliated Hospital of China Medical University, No. 155 Nanjing North Street, Shenyang 110001, Liaoning Province, China. kwwang@cmu.edu.cn
Received: May 22, 2020 Peer-review started: May 22, 2020 First decision: June 20, 2020 Revised: July 1, 2020 Accepted: August 12, 2020 Article in press: August 12, 2020 Published online: September 14, 2020
Abstract
Since the advent of artificial intelligence (AI) technology, it has been constantly studied and has achieved rapid development. The AI assistant system is expected to improve the quality of automatic polyp detection and classification. It could also help prevent endoscopists from missing polyps and make an accurate optical diagnosis. These functions provided by AI could result in a higher adenoma detection rate and decrease the cost of polypectomy for hyperplastic polyps. In addition, AI has good performance in the staging, diagnosis, and segmentation of colorectal cancer. This article provides an overview of recent research focusing on the application of AI in colorectal polyps and cancer and highlights the advances achieved.
Core Tip: In recent years, the application of artificial intelligence in the diagnosis and treatment of colorectal polyps and cancer has increased. These applications include automated polyp detection and classification as well as qualitative and staging diagnosis of colorectal cancer. This article provides an overview of recent research focusing on the application of artificial intelligence in colorectal polyps and cancer and highlights the advances achieved.
