Application and future perspectives of gastric cancer technology based on artificial intelligence

Gastric cancer is among the most common cancers and the second-leading cause of death globally. A variety of artificial intelligence (AI) applications have been developed to facilitate the image-based diagnosis of gastric cancer through pathological analysis, endoscopy, and computerized tomography....

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Detalles Bibliográficos
Autor principal: Wang, Jyun-Guo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2023
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10227690/
https://www.ncbi.nlm.nih.gov/pubmed/37261305
http://dx.doi.org/10.4103/tcmj.tcmj_305_22
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author Wang, Jyun-Guo
author_facet Wang, Jyun-Guo
author_sort Wang, Jyun-Guo
collection PubMed
description Gastric cancer is among the most common cancers and the second-leading cause of death globally. A variety of artificial intelligence (AI) applications have been developed to facilitate the image-based diagnosis of gastric cancer through pathological analysis, endoscopy, and computerized tomography. This article provides an overview of these AI applications as well as suggestions pertaining to future developments in this field and their application in clinical practice.
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spelling pubmed-102276902023-05-31 Application and future perspectives of gastric cancer technology based on artificial intelligence Wang, Jyun-Guo Tzu Chi Med J Review Article Gastric cancer is among the most common cancers and the second-leading cause of death globally. A variety of artificial intelligence (AI) applications have been developed to facilitate the image-based diagnosis of gastric cancer through pathological analysis, endoscopy, and computerized tomography. This article provides an overview of these AI applications as well as suggestions pertaining to future developments in this field and their application in clinical practice. Wolters Kluwer - Medknow 2023-02-22 /pmc/articles/PMC10227690/ /pubmed/37261305 http://dx.doi.org/10.4103/tcmj.tcmj_305_22 Text en Copyright: © 2023 Tzu Chi Medical Journal https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Review Article
Wang, Jyun-Guo
Application and future perspectives of gastric cancer technology based on artificial intelligence
title Application and future perspectives of gastric cancer technology based on artificial intelligence
title_full Application and future perspectives of gastric cancer technology based on artificial intelligence
title_fullStr Application and future perspectives of gastric cancer technology based on artificial intelligence
title_full_unstemmed Application and future perspectives of gastric cancer technology based on artificial intelligence
title_short Application and future perspectives of gastric cancer technology based on artificial intelligence
title_sort application and future perspectives of gastric cancer technology based on artificial intelligence
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10227690/
https://www.ncbi.nlm.nih.gov/pubmed/37261305
http://dx.doi.org/10.4103/tcmj.tcmj_305_22
work_keys_str_mv AT wangjyunguo applicationandfutureperspectivesofgastriccancertechnologybasedonartificialintelligence

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