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Current Status and Analysis of Machine Learning in Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is a common tumor. Although the diagnosis and treatment of HCC have made great progress, the overall prognosis remains poor. As the core component of artificial intelligence, machine learning (ML) has developed rapidly in the past decade. In particular, ML has become w...

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Autores principales: Feng, Sijia, Wang, Jianhua, Wang, Liheng, Qiu, Qixuan, Chen, Dongdong, Su, Huo, Li, Xiaoli, Xiao, Yao, Lin, Chiayen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: XIA & HE Publishing Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10412715/
https://www.ncbi.nlm.nih.gov/pubmed/37577233
http://dx.doi.org/10.14218/JCTH.2022.00077S
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author Feng, Sijia
Wang, Jianhua
Wang, Liheng
Qiu, Qixuan
Chen, Dongdong
Su, Huo
Li, Xiaoli
Xiao, Yao
Lin, Chiayen
author_facet Feng, Sijia
Wang, Jianhua
Wang, Liheng
Qiu, Qixuan
Chen, Dongdong
Su, Huo
Li, Xiaoli
Xiao, Yao
Lin, Chiayen
author_sort Feng, Sijia
collection PubMed
description Hepatocellular carcinoma (HCC) is a common tumor. Although the diagnosis and treatment of HCC have made great progress, the overall prognosis remains poor. As the core component of artificial intelligence, machine learning (ML) has developed rapidly in the past decade. In particular, ML has become widely used in the medical field, and it has helped in the diagnosis and treatment of cancer. Different algorithms of ML have different roles in diagnosis, treatment, and prognosis. This article reviews recent research, explains the application of different ML models in HCC, and provides suggestions for follow-up research.
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spelling pubmed-104127152023-08-11 Current Status and Analysis of Machine Learning in Hepatocellular Carcinoma Feng, Sijia Wang, Jianhua Wang, Liheng Qiu, Qixuan Chen, Dongdong Su, Huo Li, Xiaoli Xiao, Yao Lin, Chiayen J Clin Transl Hepatol Review Article Hepatocellular carcinoma (HCC) is a common tumor. Although the diagnosis and treatment of HCC have made great progress, the overall prognosis remains poor. As the core component of artificial intelligence, machine learning (ML) has developed rapidly in the past decade. In particular, ML has become widely used in the medical field, and it has helped in the diagnosis and treatment of cancer. Different algorithms of ML have different roles in diagnosis, treatment, and prognosis. This article reviews recent research, explains the application of different ML models in HCC, and provides suggestions for follow-up research. XIA & HE Publishing Inc. 2023-10-28 2023-05-17 /pmc/articles/PMC10412715/ /pubmed/37577233 http://dx.doi.org/10.14218/JCTH.2022.00077S Text en © 2023 Authors. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 4.0 International License (CC BY-NC 4.0), permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Feng, Sijia
Wang, Jianhua
Wang, Liheng
Qiu, Qixuan
Chen, Dongdong
Su, Huo
Li, Xiaoli
Xiao, Yao
Lin, Chiayen
Current Status and Analysis of Machine Learning in Hepatocellular Carcinoma
title Current Status and Analysis of Machine Learning in Hepatocellular Carcinoma
title_full Current Status and Analysis of Machine Learning in Hepatocellular Carcinoma
title_fullStr Current Status and Analysis of Machine Learning in Hepatocellular Carcinoma
title_full_unstemmed Current Status and Analysis of Machine Learning in Hepatocellular Carcinoma
title_short Current Status and Analysis of Machine Learning in Hepatocellular Carcinoma
title_sort current status and analysis of machine learning in hepatocellular carcinoma
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10412715/
https://www.ncbi.nlm.nih.gov/pubmed/37577233
http://dx.doi.org/10.14218/JCTH.2022.00077S
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