{"title":"Artificial intelligence models for the diagnosis and management of liver diseases.","authors":"Naoshi Nishida, Masatoshi Kudo","doi":"10.14366/usg.22110","DOIUrl":null,"url":null,"abstract":"<p><p>With the development of more advanced methods for the diagnosis and treatment of diseases, the data required for medical care are becoming complex, and misinterpretation of information due to human error may result in serious consequences. Human error can be avoided with the support of artificial intelligence (AI). AI models trained with various medical data for diagnosis and management of liver diseases have been applied to hepatitis, fatty liver disease, liver cirrhosis, and liver cancer. Some of these models have been reported to outperform human experts in terms of performance, indicating their potential for supporting clinical practice given their high-speed output. This paper summarizes the recent advances in AI for liver disease and introduces the AI-aided diagnosis of liver tumors using B-mode ultrasonography.</p>","PeriodicalId":54227,"journal":{"name":"Ultrasonography","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/dd/03/usg-22110.PMC9816706.pdf","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ultrasonography","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.14366/usg.22110","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 1
Abstract
With the development of more advanced methods for the diagnosis and treatment of diseases, the data required for medical care are becoming complex, and misinterpretation of information due to human error may result in serious consequences. Human error can be avoided with the support of artificial intelligence (AI). AI models trained with various medical data for diagnosis and management of liver diseases have been applied to hepatitis, fatty liver disease, liver cirrhosis, and liver cancer. Some of these models have been reported to outperform human experts in terms of performance, indicating their potential for supporting clinical practice given their high-speed output. This paper summarizes the recent advances in AI for liver disease and introduces the AI-aided diagnosis of liver tumors using B-mode ultrasonography.
UltrasonographyMedicine-Radiology, Nuclear Medicine and Imaging
CiteScore
5.10
自引率
6.50%
发文量
78
审稿时长
15 weeks
期刊介绍：
Ultrasonography, the official English-language journal of the Korean Society of Ultrasound in Medicine (KSUM), is an international peer-reviewed academic journal dedicated to practice, research, technology, and education dealing with medical ultrasound. It is renamed from the Journal of Korean Society of Ultrasound in Medicine in January 2014, and published four times per year: January 1, April 1, July 1, and October 1. Original articles, technical notes, topical reviews, perspectives, pictorial essays, and timely editorial materials are published in Ultrasonography covering state-of-the-art content.
Ultrasonography aims to provide updated information on new diagnostic concepts and technical developments, including experimental animal studies using new equipment in addition to well-designed reviews of contemporary issues in patient care. Along with running KSUM Open, the annual international congress of KSUM, Ultrasonography also serves as a medium for cooperation among physicians and specialists from around the world who are focusing on various ultrasound technology and disease problems and relevant basic science.
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