Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases : Concept, Technology, Application and Perspectiv (Paperback)

Section 1. Basics of artificial intelligence in medicine 1. Artificial intelligence in healthcare: past and present 2. Artificial intelligence: technical overview, model development and evaluation

Section 2. Fields of AI in hepatology (By tools) data preparation/methodology/application 3. AI in radiology, and application in liver disease 4. Electronic health record for AI healthcare, and application in liver disease 5. AI in pathology and application in liver disease 6. AI using multiomics/genetic tools and application in liver disease

Section 3. AI application in specific tasks of liver diseases (By disease/tasks) 7. AI in prediction of steatosis/ fibrosis of NAFLD 8. AI in hepatitis (viral, non-viral), progression/outcome prediction 9. AI in cirrhosis complication/acute liver failure 10. AI in liver transplantation 11. AI in liver cancer, diagnosis and management 12. AI in drug induced liver injury and drug development of liver disease 13. AI in precision health and liver disease monitoring

Section 4. Perspectives of AI in liver diseases and beyond 14. Regulatory, social, ethical, and legal issues of AI in medicine 15. The explainable AI, limitation of AI, and new trend 16. Outlook of the future landscape of AI in liver diseases of healthcare and challenges