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Published in 2017 at "Endoscopy"
DOI: 10.1055/s-0043-116015
Abstract: Background and study aim Experts can accurately predict diminutive polyp histology, but the ideal method to train nonexperts is not known. The aim of the study was to compare accuracy in diminutive polyp histology characterization using…
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Keywords:
polyp histology;
self learning;
didactic training;
histology ... See more keywords
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Published in 2021 at "Clinical endoscopy"
DOI: 10.5946/ce.2021.149
Abstract: Background/Aims We have been developing artificial intelligence based polyp histology prediction (AIPHP) method to classify Narrow Band Imaging (NBI) magnifying colonoscopy images to predict the hyperplastic or neoplastic histology of polyps. Our aim was to…
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Keywords:
histology prediction;
intelligence based;
artificial intelligence;
polyp histology ... See more keywords
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Published in 2022 at "Clinical Endoscopy"
DOI: 10.5946/ce.2021.266
Abstract: 45 Artificial intelligence (AI) has recently become an essential technology applied to various fields, including weather forecast, social networking, automatic driving, and video games. This evolution has also rapidly affected medicine and healthcare, starting with…
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Keywords:
artificial intelligence;
histology prediction;
histology;
polyp histology ... See more keywords
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Published in 2022 at "Clinical Endoscopy"
DOI: 10.5946/ce.2022.123.1
Abstract: mentary to our study on the artificial intelligence based colorectal polyp histology prediction using narrow-band image (NBI)-magnifying colonoscopy. In our study, we compared the accuracy of a developed artificial intelligence-based polyp histology prediction (AIPHP) method…
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Keywords:
intelligence based;
artificial intelligence;
histology prediction;
histology ... See more keywords