Application of AI on cholangiocarcinoma
Cholangiocarcinoma, classified as intrahepatic, perihilar, and extrahepatic, is considered a deadly malignancy of the hepatobiliary system. Most cases of cholangiocarcinoma are asymptomatic. Therefore, early detection of cholangiocarcinoma is significant but still challenging. The routine screening...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2024-01-01
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Series: | Frontiers in Oncology |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2024.1324222/full |
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author | Jianhao Huang Xuesong Bai Yanyu Qiu Xiaodong He |
author_facet | Jianhao Huang Xuesong Bai Yanyu Qiu Xiaodong He |
author_sort | Jianhao Huang |
collection | DOAJ |
description | Cholangiocarcinoma, classified as intrahepatic, perihilar, and extrahepatic, is considered a deadly malignancy of the hepatobiliary system. Most cases of cholangiocarcinoma are asymptomatic. Therefore, early detection of cholangiocarcinoma is significant but still challenging. The routine screening of a tumor lacks specificity and accuracy. With the application of AI, high-risk patients can be easily found by analyzing their clinical characteristics, serum biomarkers, and medical images. Moreover, AI can be used to predict the prognosis including recurrence risk and metastasis. Although they have some limitations, AI algorithms will still significantly improve many aspects of cholangiocarcinoma in the medical field with the development of computing power and technology. |
first_indexed | 2024-03-08T10:14:18Z |
format | Article |
id | doaj.art-198201815d974b4ab61c441f4e2d9310 |
institution | Directory Open Access Journal |
issn | 2234-943X |
language | English |
last_indexed | 2024-03-08T10:14:18Z |
publishDate | 2024-01-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Oncology |
spelling | doaj.art-198201815d974b4ab61c441f4e2d93102024-01-29T04:40:37ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2024-01-011410.3389/fonc.2024.13242221324222Application of AI on cholangiocarcinomaJianhao HuangXuesong BaiYanyu QiuXiaodong HeCholangiocarcinoma, classified as intrahepatic, perihilar, and extrahepatic, is considered a deadly malignancy of the hepatobiliary system. Most cases of cholangiocarcinoma are asymptomatic. Therefore, early detection of cholangiocarcinoma is significant but still challenging. The routine screening of a tumor lacks specificity and accuracy. With the application of AI, high-risk patients can be easily found by analyzing their clinical characteristics, serum biomarkers, and medical images. Moreover, AI can be used to predict the prognosis including recurrence risk and metastasis. Although they have some limitations, AI algorithms will still significantly improve many aspects of cholangiocarcinoma in the medical field with the development of computing power and technology.https://www.frontiersin.org/articles/10.3389/fonc.2024.1324222/fullcholangiocarcinoma (CCA)machine learning (ML)artificial intelligenceprognosisdiagnosis |
spellingShingle | Jianhao Huang Xuesong Bai Yanyu Qiu Xiaodong He Application of AI on cholangiocarcinoma Frontiers in Oncology cholangiocarcinoma (CCA) machine learning (ML) artificial intelligence prognosis diagnosis |
title | Application of AI on cholangiocarcinoma |
title_full | Application of AI on cholangiocarcinoma |
title_fullStr | Application of AI on cholangiocarcinoma |
title_full_unstemmed | Application of AI on cholangiocarcinoma |
title_short | Application of AI on cholangiocarcinoma |
title_sort | application of ai on cholangiocarcinoma |
topic | cholangiocarcinoma (CCA) machine learning (ML) artificial intelligence prognosis diagnosis |
url | https://www.frontiersin.org/articles/10.3389/fonc.2024.1324222/full |
work_keys_str_mv | AT jianhaohuang applicationofaioncholangiocarcinoma AT xuesongbai applicationofaioncholangiocarcinoma AT yanyuqiu applicationofaioncholangiocarcinoma AT xiaodonghe applicationofaioncholangiocarcinoma |