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

Arian MansurHarvard Medical School, Boston, MA 02115, USAAndrea VrionisMorsani College of Medicine, University of South Florida Health, Tampa, FL 33602, USAJonathan CharlesMorsani College of Medicine, University of South Florida Health, Tampa, FL 33602, USAKayesha HancelDepartment of Radiology, Massachusetts General Hospital, Boston, MA 02114, USAJohn PanagidesHarvard Medical School, Boston, MA 02115, USAFarzad MoloudiDepartment of Radiology, Massachusetts General Hospital, Boston, MA 02114, USAShams IqbalDepartment of Radiology, Massachusetts General Hospital, Boston, MA 02114, USADania DayeDepartment of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA
2023en
ABI

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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.

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