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

Concept, Technology, Application and Perspectives
Herausgeber: Su, Tung-Hung; Kao, Jia-Horng

• Broschiertes Buch

Produktbeschreibung

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.

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Produktdetails

• Verlag: Elsevier Science & Technology
• Seitenzahl: 350
• Erscheinungstermin: 22. August 2023
• Englisch
• Abmessung: 190mm x 237mm x 20mm
• Gewicht: 732g
• ISBN-13: 9780323991360
• ISBN-10: 032399136X
• Artikelnr.: 67325539

Inhaltsangabe

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