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Artificial Intelligence in Gastrointestinal Endoscopy

Artificial intelligence (AI) is rapidly integrating into modern technology and clinical practice. Although in its nascency, AI has become a hot topic of investigation for applications in clinical practice. Multiple fields of medicine have embraced the possibility of a future with AI assisting in dia...

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Autores principales: Abadir, Alexander P., Ali, Mohammed Fahad, Karnes, William, Samarasena, Jason B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Gastrointestinal Endoscopy 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7137570/
https://www.ncbi.nlm.nih.gov/pubmed/32252506
http://dx.doi.org/10.5946/ce.2020.038
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author Abadir, Alexander P.
Ali, Mohammed Fahad
Karnes, William
Samarasena, Jason B.
author_facet Abadir, Alexander P.
Ali, Mohammed Fahad
Karnes, William
Samarasena, Jason B.
author_sort Abadir, Alexander P.
collection PubMed
description Artificial intelligence (AI) is rapidly integrating into modern technology and clinical practice. Although in its nascency, AI has become a hot topic of investigation for applications in clinical practice. Multiple fields of medicine have embraced the possibility of a future with AI assisting in diagnosis and pathology applications. In the field of gastroenterology, AI has been studied as a tool to assist in risk stratification, diagnosis, and pathologic identification. Specifically, AI has become of great interest in endoscopy as a technology with substantial potential to revolutionize the practice of a modern gastroenterologist. From cancer screening to automated report generation, AI has touched upon all aspects of modern endoscopy. Here, we review landmark AI developments in endoscopy. Starting with broad definitions to develop understanding, we will summarize the current state of AI research and its potential applications. With innovation developing rapidly, this article touches upon the remarkable advances in AI-assisted endoscopy since its initial evaluation at the turn of the millennium, and the potential impact these AI models may have on the modern clinical practice. As with any discussion of new technology, its limitations must also be understood to apply clinical AI tools successfully.
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spelling pubmed-71375702020-04-10 Artificial Intelligence in Gastrointestinal Endoscopy Abadir, Alexander P. Ali, Mohammed Fahad Karnes, William Samarasena, Jason B. Clin Endosc Focused Review Series: Application of Artificial Intelligence in GI Endoscopy Artificial intelligence (AI) is rapidly integrating into modern technology and clinical practice. Although in its nascency, AI has become a hot topic of investigation for applications in clinical practice. Multiple fields of medicine have embraced the possibility of a future with AI assisting in diagnosis and pathology applications. In the field of gastroenterology, AI has been studied as a tool to assist in risk stratification, diagnosis, and pathologic identification. Specifically, AI has become of great interest in endoscopy as a technology with substantial potential to revolutionize the practice of a modern gastroenterologist. From cancer screening to automated report generation, AI has touched upon all aspects of modern endoscopy. Here, we review landmark AI developments in endoscopy. Starting with broad definitions to develop understanding, we will summarize the current state of AI research and its potential applications. With innovation developing rapidly, this article touches upon the remarkable advances in AI-assisted endoscopy since its initial evaluation at the turn of the millennium, and the potential impact these AI models may have on the modern clinical practice. As with any discussion of new technology, its limitations must also be understood to apply clinical AI tools successfully. Korean Society of Gastrointestinal Endoscopy 2020-03 2020-03-30 /pmc/articles/PMC7137570/ /pubmed/32252506 http://dx.doi.org/10.5946/ce.2020.038 Text en Copyright © 2020 Korean Society of Gastrointestinal Endoscopy This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Focused Review Series: Application of Artificial Intelligence in GI Endoscopy
Abadir, Alexander P.
Ali, Mohammed Fahad
Karnes, William
Samarasena, Jason B.
Artificial Intelligence in Gastrointestinal Endoscopy
title Artificial Intelligence in Gastrointestinal Endoscopy
title_full Artificial Intelligence in Gastrointestinal Endoscopy
title_fullStr Artificial Intelligence in Gastrointestinal Endoscopy
title_full_unstemmed Artificial Intelligence in Gastrointestinal Endoscopy
title_short Artificial Intelligence in Gastrointestinal Endoscopy
title_sort artificial intelligence in gastrointestinal endoscopy
topic Focused Review Series: Application of Artificial Intelligence in GI Endoscopy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7137570/
https://www.ncbi.nlm.nih.gov/pubmed/32252506
http://dx.doi.org/10.5946/ce.2020.038
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