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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Bibliographic Details
Published in:Frontiers in oncology 2024, Vol.14, p.1324222-1324222
Main Authors: Huang, Jianhao, Bai, Xuesong, Qiu, Yanyu, He, Xiaodong
Format: Article
Language:English
Subjects:
artificial intelligence
cholangiocarcinoma (CCA)
diagnosis
machine learning (ML)
Oncology
prognosis
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Summary: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.
ISSN:2234-943X
2234-943X
DOI:10.3389/fonc.2024.1324222