Section 1. Basics of artificial intelligence in medicine 1. Artificial intelligence in healthcare: past and present 2. Data-centric artificial intelligence in health care: progress, shortcomings, and remedies Section 2. Fields of AI in hepatology (by tools) data preparation methodology application 3. Artificial intelligence in radiology and application in liver disease 4. Electronic health record for artificial intelligence health care, and application to liver disease 5. Artificial intelligence in pathology and application to liver disease 6.

Artificial intelligence using multiomics/genetic tools and application in liver disease Section 3. AI application in specific tasks of liver diseases (by disease/tasks) 7. Artificial intelligence in prediction of steatosis and fibrosis of nonalcoholic fatty liver disease 8. Artificial intelligence in the prediction of progression and outcome in viral hepatitis 9. Artificial intelligence in cirrhosis complications and acute liver failure 10. Artificial intelligence in liver transplantation 11. Artificial intelligence in liver cancer: diagnosis and management 12. Predicting drug-induced liver injury with artificial intelligenceda minireview 13.

Artificial intelligence in precision medicine and liver disease monitoring Section 4. Perspectives of AI in liver diseases and beyond 14. Regulatory, social, ethical, and legal issues of artificial intelligence in medicine 15. Opportunities and challenges of explainable artificial intelligence in medicine: toward causability for physicians, developers, and patients 16. Outlook of future landscape of artificial intelligence in health care of liver disease and challenges.