Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases

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

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• Hepatologia
• Biotecnologia
• Inteligência artificial

Precision health; precision medicine; hepatology; liver disease; artificial intelligence; machine learning; deep learning; personalized medicine; convolutional neural network