eBook - ePub
Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases
Concept, Technology, Application and Perspectives
- 350 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases
Concept, Technology, Application and Perspectives
About this book
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.
- Introduces the concept of AI and machine learning of precision medicine in the field of hepatology
- Discusses 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
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Information
Table of contents
- Cover
- Front Matter
- Table of Contents
- Copyright
- List of contributors
- List of Illustrations
- List of Tables
- Chapter 1 : Artificial intelligence in health care: past and present
- Chapter 2 : Data-centric artificial intelligence in health care: progress, shortcomings, and remedies
- Chapter 3 : Artificial intelligence in radiology and its application in liver disease
- Chapter 4 : Electronic health record for artificial intelligence health care, and application to liver disease
- Chapter 5 : Artificial intelligence in pathology and application to liver disease
- Chapter 6 : Artificial intelligence using multiomics/genetic tools and application in liver disease
- Chapter 7 : Artificial intelligence in prediction of steatosis and fibrosis of nonalcoholic fatty liver disease
- Chapter 8 : Artificial intelligence in the prediction of progression and outcomes in viral hepatitis
- Chapter 9 : Artificial intelligence in cirrhosis complications and acute liver failure
- Chapter 10 : Artificial intelligence in liver transplantation
- Chapter 11 : Artificial intelligence in liver cancer: diagnosis and management
- Chapter 12 : Predicting drug-induced liver injury with artificial intelligence—a minireview
- Chapter 13 : Artificial intelligence in precision medicine and liver disease monitoring
- Chapter 14 : Regulatory, social, ethical, and legal issues of artificial intelligence in medicine
- Chapter 15 : Opportunities and challenges of explainable artificial intelligence in medicine: toward causability for physicians, developers, and patients
- Chapter 16 : Outlook of future landscape of artificial intelligence in health care of liver disease and challenges
- Index
- A
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Yes, you can access Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases by Tung-Hung Su,Jia-Horng Kao in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Pharmaceutical, Biotechnology & Healthcare Industry. We have over 1.5 million books available in our catalogue for you to explore.