Latent Risk Intrahepatic Cholangiocarcinoma Susceptible to Adjuvant Treatment After Resection: A Clinical Deep Learning Approach

Latent Risk Intrahepatic Cholangiocarcinoma Susceptible to Adjuvant Treatment After Resection: A Clinical Deep Learning Approach

Background: Artificial Intelligence (AI) frameworks have emerged as a novel approach in medicine. However, information regarding its applicability and effectiveness in a clinical prognostic factor setting remains unclear.Methods: The AI framework was derived from a pooled dataset of intrahepatic cho...

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Bibliographic Details
Main Authors: Seogsong Jeong, Yang Ge, Jing Chen, Qiang Gao, Guijuan Luo, Bo Zheng, Meng Sha, Feng Shen, Qingbao Cheng, Chengjun Sui, Jingfeng Liu, Hongyang Wang, Qiang Xia, Lei Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-02-01
Series:Frontiers in Oncology
Subjects:
biliary malignancy
artificial intelligence
prognostic factor
prediction model
primary liver cancer
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2020.00143/full

Internet

https://www.frontiersin.org/article/10.3389/fonc.2020.00143/full

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