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Artificial intelligence in liver ultrasound
Artificial intelligence (AI) is playing an increasingly important role in medicine, especially in the field of medical imaging. It can be used to diagnose diseases and predict certain statuses and possible events that may happen. Recently, more and more studies have confirmed the value of AI based o...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9346461/ https://www.ncbi.nlm.nih.gov/pubmed/36158262 http://dx.doi.org/10.3748/wjg.v28.i27.3398 |
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author | Cao, Liu-Liu Peng, Mei Xie, Xiang Chen, Gong-Quan Huang, Shu-Yan Wang, Jia-Yu Jiang, Fan Cui, Xin-Wu Dietrich, Christoph F |
author_facet | Cao, Liu-Liu Peng, Mei Xie, Xiang Chen, Gong-Quan Huang, Shu-Yan Wang, Jia-Yu Jiang, Fan Cui, Xin-Wu Dietrich, Christoph F |
author_sort | Cao, Liu-Liu |
collection | PubMed |
description | Artificial intelligence (AI) is playing an increasingly important role in medicine, especially in the field of medical imaging. It can be used to diagnose diseases and predict certain statuses and possible events that may happen. Recently, more and more studies have confirmed the value of AI based on ultrasound in the evaluation of diffuse liver diseases and focal liver lesions. It can assess the severity of liver fibrosis and nonalcoholic fatty liver, differentially diagnose benign and malignant liver lesions, distinguish primary from secondary liver cancers, predict the curative effect of liver cancer treatment and recurrence after treatment, and predict microvascular invasion in hepatocellular carcinoma. The findings from these studies have great clinical application potential in the near future. The purpose of this review is to comprehensively introduce the current status and future perspectives of AI in liver ultrasound. |
format | Online Article Text |
id | pubmed-9346461 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-93464612022-09-23 Artificial intelligence in liver ultrasound Cao, Liu-Liu Peng, Mei Xie, Xiang Chen, Gong-Quan Huang, Shu-Yan Wang, Jia-Yu Jiang, Fan Cui, Xin-Wu Dietrich, Christoph F World J Gastroenterol Minireviews Artificial intelligence (AI) is playing an increasingly important role in medicine, especially in the field of medical imaging. It can be used to diagnose diseases and predict certain statuses and possible events that may happen. Recently, more and more studies have confirmed the value of AI based on ultrasound in the evaluation of diffuse liver diseases and focal liver lesions. It can assess the severity of liver fibrosis and nonalcoholic fatty liver, differentially diagnose benign and malignant liver lesions, distinguish primary from secondary liver cancers, predict the curative effect of liver cancer treatment and recurrence after treatment, and predict microvascular invasion in hepatocellular carcinoma. The findings from these studies have great clinical application potential in the near future. The purpose of this review is to comprehensively introduce the current status and future perspectives of AI in liver ultrasound. Baishideng Publishing Group Inc 2022-07-21 2022-07-21 /pmc/articles/PMC9346461/ /pubmed/36158262 http://dx.doi.org/10.3748/wjg.v28.i27.3398 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. |
spellingShingle | Minireviews Cao, Liu-Liu Peng, Mei Xie, Xiang Chen, Gong-Quan Huang, Shu-Yan Wang, Jia-Yu Jiang, Fan Cui, Xin-Wu Dietrich, Christoph F Artificial intelligence in liver ultrasound |
title | Artificial intelligence in liver ultrasound |
title_full | Artificial intelligence in liver ultrasound |
title_fullStr | Artificial intelligence in liver ultrasound |
title_full_unstemmed | Artificial intelligence in liver ultrasound |
title_short | Artificial intelligence in liver ultrasound |
title_sort | artificial intelligence in liver ultrasound |
topic | Minireviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9346461/ https://www.ncbi.nlm.nih.gov/pubmed/36158262 http://dx.doi.org/10.3748/wjg.v28.i27.3398 |
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