The Role of Artificial Intelligence in the Detection and Implementation of Biomarkers for Hepatocellular Carcinoma: Outlook and Opportunities

SIMPLE SUMMARY: Liver cancer is a major health problem worldwide, and its early detection and management are imperative for improving patient outcomes. Biomarkers have great potential to aid in the early detection and management of liver cancer. However, biomarker detection and implementation in management can be quite challenging. Artificial intelligence has shown promise in both the detection and use of biomarkers in liver cancer management, making it a valuable tool for research and future clinical implementation. The purpose of this review is to provide an overview of the current state of AI-based biomarker research in liver cancer. The findings from this research highlight the important role that AI could play in improving the accuracy and reliability of biomarker detection and its implementation for liver cancers. ABSTRACT: Liver cancer is a leading cause of cancer-related death worldwide, and its early detection and treatment are crucial for improving morbidity and mortality. Biomarkers have the potential to facilitate the early diagnosis and management of liver cancer, but identifying and implementing effective biomarkers remains a major challenge. In recent years, artificial intelligence has emerged as a promising tool in the cancer sphere, and recent literature suggests that it is very promising in facilitating biomarker use in liver cancer. This review provides an overview of the status of AI-based biomarker research in liver cancer, with a focus on the detection and implementation of biomarkers for risk prediction, diagnosis, staging, prognostication, prediction of treatment response, and recurrence of liver cancers.