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The Role of an Artificial Intelligence Method of Improving the Diagnosis of Neoplasms by Colonoscopy

Background: Colorectal cancer (CRC) is the third most common cancer worldwide. Colonoscopy is the gold standard examination that reduces the morbidity and mortality of CRC. Artificial intelligence (AI) could be useful in reducing the errors of the specialist and in drawing attention to the suspiciou...

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Autores principales: Vilkoite, Ilona, Tolmanis, Ivars, Meri, Hosams Abu, Polaka, Inese, Mezmale, Linda, Anarkulova, Linda, Leja, Marcis, Lejnieks, Aivars
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955100/
https://www.ncbi.nlm.nih.gov/pubmed/36832189
http://dx.doi.org/10.3390/diagnostics13040701
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author Vilkoite, Ilona
Tolmanis, Ivars
Meri, Hosams Abu
Polaka, Inese
Mezmale, Linda
Anarkulova, Linda
Leja, Marcis
Lejnieks, Aivars
author_facet Vilkoite, Ilona
Tolmanis, Ivars
Meri, Hosams Abu
Polaka, Inese
Mezmale, Linda
Anarkulova, Linda
Leja, Marcis
Lejnieks, Aivars
author_sort Vilkoite, Ilona
collection PubMed
description Background: Colorectal cancer (CRC) is the third most common cancer worldwide. Colonoscopy is the gold standard examination that reduces the morbidity and mortality of CRC. Artificial intelligence (AI) could be useful in reducing the errors of the specialist and in drawing attention to the suspicious area. Methods: A prospective single-center randomized controlled study was conducted in an outpatient endoscopy unit with the aim of evaluating the usefulness of AI-assisted colonoscopy in PDR and ADR during the day time. It is important to understand how already available CADe systems improve the detection of polyps and adenomas in order to make a decision about their routine use in practice. In the period from October 2021 to February 2022, 400 examinations (patients) were included in the study. One hundred and ninety-four patients were examined using the ENDO-AID CADe artificial intelligence device (study group), and 206 patients were examined without the artificial intelligence (control group). Results: None of the analyzed indicators (PDR and ADR during morning and afternoon colonoscopies) showed differences between the study and control groups. There was an increase in PDR during afternoon colonoscopies, as well as ADR during morning and afternoon colonoscopies. Conclusions: Based on our results, the use of AI systems in colonoscopies is recommended, especially in circumstances of an increase of examinations. Additional studies with larger groups of patients at night are needed to confirm the already available data.
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spelling pubmed-99551002023-02-25 The Role of an Artificial Intelligence Method of Improving the Diagnosis of Neoplasms by Colonoscopy Vilkoite, Ilona Tolmanis, Ivars Meri, Hosams Abu Polaka, Inese Mezmale, Linda Anarkulova, Linda Leja, Marcis Lejnieks, Aivars Diagnostics (Basel) Article Background: Colorectal cancer (CRC) is the third most common cancer worldwide. Colonoscopy is the gold standard examination that reduces the morbidity and mortality of CRC. Artificial intelligence (AI) could be useful in reducing the errors of the specialist and in drawing attention to the suspicious area. Methods: A prospective single-center randomized controlled study was conducted in an outpatient endoscopy unit with the aim of evaluating the usefulness of AI-assisted colonoscopy in PDR and ADR during the day time. It is important to understand how already available CADe systems improve the detection of polyps and adenomas in order to make a decision about their routine use in practice. In the period from October 2021 to February 2022, 400 examinations (patients) were included in the study. One hundred and ninety-four patients were examined using the ENDO-AID CADe artificial intelligence device (study group), and 206 patients were examined without the artificial intelligence (control group). Results: None of the analyzed indicators (PDR and ADR during morning and afternoon colonoscopies) showed differences between the study and control groups. There was an increase in PDR during afternoon colonoscopies, as well as ADR during morning and afternoon colonoscopies. Conclusions: Based on our results, the use of AI systems in colonoscopies is recommended, especially in circumstances of an increase of examinations. Additional studies with larger groups of patients at night are needed to confirm the already available data. MDPI 2023-02-13 /pmc/articles/PMC9955100/ /pubmed/36832189 http://dx.doi.org/10.3390/diagnostics13040701 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Vilkoite, Ilona
Tolmanis, Ivars
Meri, Hosams Abu
Polaka, Inese
Mezmale, Linda
Anarkulova, Linda
Leja, Marcis
Lejnieks, Aivars
The Role of an Artificial Intelligence Method of Improving the Diagnosis of Neoplasms by Colonoscopy
title The Role of an Artificial Intelligence Method of Improving the Diagnosis of Neoplasms by Colonoscopy
title_full The Role of an Artificial Intelligence Method of Improving the Diagnosis of Neoplasms by Colonoscopy
title_fullStr The Role of an Artificial Intelligence Method of Improving the Diagnosis of Neoplasms by Colonoscopy
title_full_unstemmed The Role of an Artificial Intelligence Method of Improving the Diagnosis of Neoplasms by Colonoscopy
title_short The Role of an Artificial Intelligence Method of Improving the Diagnosis of Neoplasms by Colonoscopy
title_sort role of an artificial intelligence method of improving the diagnosis of neoplasms by colonoscopy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955100/
https://www.ncbi.nlm.nih.gov/pubmed/36832189
http://dx.doi.org/10.3390/diagnostics13040701
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