A New Dawn for the Use of Artificial Intelligence in Gastroenterology, Hepatology and Pancreatology

A New Dawn for the Use of Artificial Intelligence in Gastroenterology, Hepatology and Pancreatology

Artificial intelligence (AI) is rapidly becoming an essential tool in the medical field as well as in daily life. Recent developments in deep learning, a subfield of AI, have brought remarkable advances in image recognition, which facilitates improvement in the early detection of cancer by endoscopy...

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Main Authors: Akihiko Oka, Norihisa Ishimura, Shunji Ishihara
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Diagnostics
Subjects:
machine learning
deep learning
endoscopy
ultrasonography
radiology
Online Access:https://www.mdpi.com/2075-4418/11/9/1719
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spelling doaj-f60c802d169c4902aaa3b716075cbbf92021-09-25T23:59:36ZengMDPI AGDiagnostics2075-44182021-09-01111719171910.3390/diagnostics11091719A New Dawn for the Use of Artificial Intelligence in Gastroenterology, Hepatology and PancreatologyAkihiko Oka0Norihisa Ishimura1Shunji Ishihara2Department of Internal Medicine II, Faculty of Medicine, Shimane University, Izumo 693-8501, Shimane, JapanDepartment of Internal Medicine II, Faculty of Medicine, Shimane University, Izumo 693-8501, Shimane, JapanDepartment of Internal Medicine II, Faculty of Medicine, Shimane University, Izumo 693-8501, Shimane, JapanArtificial intelligence (AI) is rapidly becoming an essential tool in the medical field as well as in daily life. Recent developments in deep learning, a subfield of AI, have brought remarkable advances in image recognition, which facilitates improvement in the early detection of cancer by endoscopy, ultrasonography, and computed tomography. In addition, AI-assisted big data analysis represents a great step forward for precision medicine. This review provides an overview of AI technology, particularly for gastroenterology, hepatology, and pancreatology, to help clinicians utilize AI in the near future.https://www.mdpi.com/2075-4418/11/9/1719machine learningdeep learningendoscopyultrasonographyradiology
collection DOAJ
language English
format Article
sources DOAJ
author Akihiko Oka
Norihisa Ishimura
Shunji Ishihara
spellingShingle Akihiko Oka
Norihisa Ishimura
Shunji Ishihara
A New Dawn for the Use of Artificial Intelligence in Gastroenterology, Hepatology and Pancreatology
Diagnostics
machine learning
deep learning
endoscopy
ultrasonography
radiology
author_facet Akihiko Oka
Norihisa Ishimura
Shunji Ishihara
author_sort Akihiko Oka
title A New Dawn for the Use of Artificial Intelligence in Gastroenterology, Hepatology and Pancreatology
title_short A New Dawn for the Use of Artificial Intelligence in Gastroenterology, Hepatology and Pancreatology
title_full A New Dawn for the Use of Artificial Intelligence in Gastroenterology, Hepatology and Pancreatology
title_fullStr A New Dawn for the Use of Artificial Intelligence in Gastroenterology, Hepatology and Pancreatology
title_full_unstemmed A New Dawn for the Use of Artificial Intelligence in Gastroenterology, Hepatology and Pancreatology
title_sort new dawn for the use of artificial intelligence in gastroenterology, hepatology and pancreatology
publisher MDPI AG
series Diagnostics
issn 2075-4418
publishDate 2021-09-01
description Artificial intelligence (AI) is rapidly becoming an essential tool in the medical field as well as in daily life. Recent developments in deep learning, a subfield of AI, have brought remarkable advances in image recognition, which facilitates improvement in the early detection of cancer by endoscopy, ultrasonography, and computed tomography. In addition, AI-assisted big data analysis represents a great step forward for precision medicine. This review provides an overview of AI technology, particularly for gastroenterology, hepatology, and pancreatology, to help clinicians utilize AI in the near future.
topic machine learning
deep learning
endoscopy
ultrasonography
radiology
url https://www.mdpi.com/2075-4418/11/9/1719
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