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

Acerca de los autores

Dr. Tung-Hung Su is an experienced physician in hepatology and clinical Associate Professor of the National Taiwan University Hospital. He is actively carrying out research of AI application in liver diseases, using imaging, electronical health records, and pathology. He had published several papers using healthcare database for the outcome prediction in liver diseases and a review paper regarding AI in precision medicine in hepatology with Professor Jia-Horng Kao.

Professor Jia-Horng Kao is an expert in liver diseases, past-president of the Taiwan Association for the Study of the Liver, and Chair Professor of the National Taiwan University. He has published more than 650 scientific papers and edited several books regarding viral hepatitis.

De la contraportada

Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine and Liver Diseases: Concept, Technology, Application, and Perspectives combines four major applications of artificial intelligence (AI) within the field of clinical medicine specific to liver diseases: radiology imaging, electronic health records, pathology, and multiomics. The book 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, viral and steatohepatitis, cirrhosis, hepatocellular carcinoma, acute liver failure, liver transplantation, and more. The ethical and legal issues of AI and future challenges and perspectives are also discussed.

By highlighting 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.