Artificial intelligence model validation before its application in clinical diagnosis assistance

The process of selecting an artificial intelligence (AI) model to assist clinical diagnosis of a particular pathology and its validation tests is relevant since the values of accuracy, sensitivity and specificity may not reflect the behavior of the method in a real environment. Here, we provide help...

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Detalles Bibliográficos
Autores principales: Vazquez-Zapien, Gustavo Jesus, Mata-Miranda, Monica Maribel, Garibay-Gonzalez, Francisco, Sanchez-Brito, Miguel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2022
Materias:
Letter to the Editor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8905022/
https://www.ncbi.nlm.nih.gov/pubmed/35316961
http://dx.doi.org/10.3748/wjg.v28.i5.602
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author Vazquez-Zapien, Gustavo Jesus
Mata-Miranda, Monica Maribel
Garibay-Gonzalez, Francisco
Sanchez-Brito, Miguel
author_facet Vazquez-Zapien, Gustavo Jesus
Mata-Miranda, Monica Maribel
Garibay-Gonzalez, Francisco
Sanchez-Brito, Miguel
author_sort Vazquez-Zapien, Gustavo Jesus
collection PubMed
description The process of selecting an artificial intelligence (AI) model to assist clinical diagnosis of a particular pathology and its validation tests is relevant since the values of accuracy, sensitivity and specificity may not reflect the behavior of the method in a real environment. Here, we provide helpful considerations to increase the success of using an AI model in clinical practice.
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spelling pubmed-89050222022-03-21 Artificial intelligence model validation before its application in clinical diagnosis assistance Vazquez-Zapien, Gustavo Jesus Mata-Miranda, Monica Maribel Garibay-Gonzalez, Francisco Sanchez-Brito, Miguel World J Gastroenterol Letter to the Editor The process of selecting an artificial intelligence (AI) model to assist clinical diagnosis of a particular pathology and its validation tests is relevant since the values of accuracy, sensitivity and specificity may not reflect the behavior of the method in a real environment. Here, we provide helpful considerations to increase the success of using an AI model in clinical practice. Baishideng Publishing Group Inc 2022-02-07 2022-02-07 /pmc/articles/PMC8905022/ /pubmed/35316961 http://dx.doi.org/10.3748/wjg.v28.i5.602 Text en ©The Author(s) 2022. 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 Letter to the Editor
Vazquez-Zapien, Gustavo Jesus
Mata-Miranda, Monica Maribel
Garibay-Gonzalez, Francisco
Sanchez-Brito, Miguel
Artificial intelligence model validation before its application in clinical diagnosis assistance
title Artificial intelligence model validation before its application in clinical diagnosis assistance
title_full Artificial intelligence model validation before its application in clinical diagnosis assistance
title_fullStr Artificial intelligence model validation before its application in clinical diagnosis assistance
title_full_unstemmed Artificial intelligence model validation before its application in clinical diagnosis assistance
title_short Artificial intelligence model validation before its application in clinical diagnosis assistance
title_sort artificial intelligence model validation before its application in clinical diagnosis assistance
topic Letter to the Editor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8905022/
https://www.ncbi.nlm.nih.gov/pubmed/35316961
http://dx.doi.org/10.3748/wjg.v28.i5.602
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