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Artificial intelligence in gastrointestinal endoscopy: general overview

Artificial intelligence (AI) is now a trendy subject in clinical medicine and especially in gastrointestinal (GI) endoscopy. AI has the potential to improve the quality of GI endoscopy at all levels. It will compensate for humans’ errors and limited capabilities by bringing more accuracy, consistenc...

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Detalles Bibliográficos
Autores principales: El Hajjar, Ahmad, Rey, Jean-François
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7004609/
https://www.ncbi.nlm.nih.gov/pubmed/31929362
http://dx.doi.org/10.1097/CM9.0000000000000623
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author El Hajjar, Ahmad
Rey, Jean-François
author_facet El Hajjar, Ahmad
Rey, Jean-François
author_sort El Hajjar, Ahmad
collection PubMed
description Artificial intelligence (AI) is now a trendy subject in clinical medicine and especially in gastrointestinal (GI) endoscopy. AI has the potential to improve the quality of GI endoscopy at all levels. It will compensate for humans’ errors and limited capabilities by bringing more accuracy, consistency, and higher speed, making endoscopic procedures more efficient and of higher quality. AI showed great results in diagnostic and therapeutic endoscopy in all parts of the GI tract. More studies are still needed before the introduction of this new technology in our daily practice and clinical guidelines. Furthermore, ethical clearance and new legislations might be needed. In conclusion, the introduction of AI will be a big breakthrough in the field of GI endoscopy in the upcoming years. It has the potential to bring major improvements to GI endoscopy at all levels.
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spelling pubmed-70046092020-02-11 Artificial intelligence in gastrointestinal endoscopy: general overview El Hajjar, Ahmad Rey, Jean-François Chin Med J (Engl) Review Articles Artificial intelligence (AI) is now a trendy subject in clinical medicine and especially in gastrointestinal (GI) endoscopy. AI has the potential to improve the quality of GI endoscopy at all levels. It will compensate for humans’ errors and limited capabilities by bringing more accuracy, consistency, and higher speed, making endoscopic procedures more efficient and of higher quality. AI showed great results in diagnostic and therapeutic endoscopy in all parts of the GI tract. More studies are still needed before the introduction of this new technology in our daily practice and clinical guidelines. Furthermore, ethical clearance and new legislations might be needed. In conclusion, the introduction of AI will be a big breakthrough in the field of GI endoscopy in the upcoming years. It has the potential to bring major improvements to GI endoscopy at all levels. Wolters Kluwer Health 2020-02-05 2020-02-05 /pmc/articles/PMC7004609/ /pubmed/31929362 http://dx.doi.org/10.1097/CM9.0000000000000623 Text en Copyright © 2020 The Chinese Medical Association, produced by Wolters Kluwer, Inc. under the CC-BY-NC-ND license. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle Review Articles
El Hajjar, Ahmad
Rey, Jean-François
Artificial intelligence in gastrointestinal endoscopy: general overview
title Artificial intelligence in gastrointestinal endoscopy: general overview
title_full Artificial intelligence in gastrointestinal endoscopy: general overview
title_fullStr Artificial intelligence in gastrointestinal endoscopy: general overview
title_full_unstemmed Artificial intelligence in gastrointestinal endoscopy: general overview
title_short Artificial intelligence in gastrointestinal endoscopy: general overview
title_sort artificial intelligence in gastrointestinal endoscopy: general overview
topic Review Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7004609/
https://www.ncbi.nlm.nih.gov/pubmed/31929362
http://dx.doi.org/10.1097/CM9.0000000000000623
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