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Artificial intelligence in colonoscopy
Colorectal cancer remains a leading cause of morbidity and mortality in the United States. Advances in artificial intelligence (AI), specifically computer aided detection and computer-aided diagnosis offer promising methods of increasing adenoma detection rates with the goal of removing more pre-can...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8371500/ https://www.ncbi.nlm.nih.gov/pubmed/34447227 http://dx.doi.org/10.3748/wjg.v27.i29.4802 |
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author | Joseph, Joel LePage, Ella Marie Cheney, Catherine Phillips Pawa, Rishi |
author_facet | Joseph, Joel LePage, Ella Marie Cheney, Catherine Phillips Pawa, Rishi |
author_sort | Joseph, Joel |
collection | PubMed |
description | Colorectal cancer remains a leading cause of morbidity and mortality in the United States. Advances in artificial intelligence (AI), specifically computer aided detection and computer-aided diagnosis offer promising methods of increasing adenoma detection rates with the goal of removing more pre-cancerous polyps. Conversely, these methods also may allow for smaller non-cancerous lesions to be diagnosed in vivo and left in place, decreasing the risks that come with unnecessary polypectomies. This review will provide an overview of current advances in the use of AI in colonoscopy to aid in polyp detection and characterization as well as areas of developing research. |
format | Online Article Text |
id | pubmed-8371500 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-83715002021-08-25 Artificial intelligence in colonoscopy Joseph, Joel LePage, Ella Marie Cheney, Catherine Phillips Pawa, Rishi World J Gastroenterol Minireviews Colorectal cancer remains a leading cause of morbidity and mortality in the United States. Advances in artificial intelligence (AI), specifically computer aided detection and computer-aided diagnosis offer promising methods of increasing adenoma detection rates with the goal of removing more pre-cancerous polyps. Conversely, these methods also may allow for smaller non-cancerous lesions to be diagnosed in vivo and left in place, decreasing the risks that come with unnecessary polypectomies. This review will provide an overview of current advances in the use of AI in colonoscopy to aid in polyp detection and characterization as well as areas of developing research. Baishideng Publishing Group Inc 2021-08-07 2021-08-07 /pmc/articles/PMC8371500/ /pubmed/34447227 http://dx.doi.org/10.3748/wjg.v27.i29.4802 Text en ©The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/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/ |
spellingShingle | Minireviews Joseph, Joel LePage, Ella Marie Cheney, Catherine Phillips Pawa, Rishi Artificial intelligence in colonoscopy |
title | Artificial intelligence in colonoscopy |
title_full | Artificial intelligence in colonoscopy |
title_fullStr | Artificial intelligence in colonoscopy |
title_full_unstemmed | Artificial intelligence in colonoscopy |
title_short | Artificial intelligence in colonoscopy |
title_sort | artificial intelligence in colonoscopy |
topic | Minireviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8371500/ https://www.ncbi.nlm.nih.gov/pubmed/34447227 http://dx.doi.org/10.3748/wjg.v27.i29.4802 |
work_keys_str_mv | AT josephjoel artificialintelligenceincolonoscopy AT lepageellamarie artificialintelligenceincolonoscopy AT cheneycatherinephillips artificialintelligenceincolonoscopy AT pawarishi artificialintelligenceincolonoscopy |