Current Status and Analysis of Machine Learning in Hepatocellular Carcinoma
Sijia Feng, Jianhua Wang, Liheng Wang, Qixuan Qiu, Dongdong Chen, Huo Su, Xiaoli Li, Yao Xiao, Chiayen Lin
Abstract
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.
Topics & Concepts
MedicineHepatocellular carcinomaRenal cell carcinomaIntensive care medicineArtificial intelligenceOncologyInternal medicineComputer scienceRadiomics and Machine Learning in Medical ImagingHepatocellular Carcinoma Treatment and PrognosisRenal cell carcinoma treatment