Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases: Concept, Technology, Application and Perspectives

Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine and Liver Diseases: Concept, Technology, Application, and Perspectives combines three major applications of artificial intelligence (AI) within the field of clinical medicine specific to liver diseases: imaging, medical records, and pathology. It provides a state-of-the-art summary of AI in precision medicine in Hepatology clarifying the concept and technology of AI and pointing to the current and future applications of AI within the field of hepatology. Coverage includes data preparation, methodology and application within disease-specific cases in fibrosis, hepatitis, cirrhosis, acute liver failure, liver transplantation, and more. By highlighting the many new AI applications which can further research, diagnosis, and treatment, this reference is the perfect resource for both practicing hepatologists and researchers focused on AI applications in medicine. Introduces the concept of AI and machine learning of precision medicine in the field of hepatology Discusses the current challenges of AI in healthcare and proposes future tasks for AI in new workflows of healthcare Provides real-world applications from domain experts in clinical medicine INDICE: 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

• ISBN: 978-0-323-99136-0
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 350
• Fecha Publicación: 01/08/2023
• Nº Volúmenes: 1
• Idioma: Inglés