Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases
Academic Press Inc (Verlag)
978-0-323-99136-0 (ISBN)
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.
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.
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
| Erscheinungsdatum | 03.08.2023 |
|---|---|
| Verlagsort | Oxford |
| Sprache | englisch |
| Maße | 191 x 235 mm |
| Gewicht | 730 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Medizinische Fachgebiete ► Innere Medizin ► Hepatologie | |
| Studium ► Querschnittsbereiche ► Prävention / Gesundheitsförderung | |
| Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie | |
| Technik ► Umwelttechnik / Biotechnologie | |
| ISBN-10 | 0-323-99136-X / 032399136X |
| ISBN-13 | 978-0-323-99136-0 / 9780323991360 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
