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Product Identifiers
PublisherElsevier Science & Technology
ISBN-100128233370
ISBN-139780128233375
eBay Product ID (ePID)26038292233
Product Key Features
Number of PagesXxvi, 521 Pages
Publication NameIntelligence-Based Medicine : Artificial Intelligence and Human Cognition in Clinical Medicine and Healthcare
LanguageEnglish
Publication Year2020
SubjectBiotechnology, Allied Health Services / Medical Technology, Manufacturing
TypeTextbook
AuthorAnthony C. Chang
Subject AreaTechnology & Engineering, Science, Medical
FormatHardcover
Dimensions
Item Length9.2 in
Item Width7.5 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2020-300760
Dewey Edition23
Reviews"This is an outstanding, state-of-the-current-art-and-science of artificial intelligence in general and in medicine specifically. It is a highly valuable read for those who are just starting to become interested in the subject and for those with experience in artificial intelligence as the author has taken a very broad view and reduced it to manageable, focused pictures. The book is an extraordinarily valuable addition to every academic library." --Doody
IllustratedYes
Dewey Decimal610/.285/63
Table Of Content1. Artificial Intelligence: Basic Concepts2. The Brain and Artificial Intelligence3. Brief History of Artificial Intelligence4. History of Artificial Intelligence in Medicine5. The Current Era of Artificial Intelligence6. Deep Learning7. Other Key Concepts8. Current Concepts of Artificial Intelligence in Medicine9. Current Applications of Artificial Intelligence in Medicine10. Focus on Selected Subspecialties11. Problems and Potential Solutions
SynopsisIntelligence-Based Medicine: Data Science, Artificial Intelligence, and Human Cognition in Clinical Medicine and Healthcare provides a multidisciplinary and comprehensive survey of artificial intelligence concepts and methodologies with real life applications in healthcare and medicine. Authored by a senior physician-data scientist, the book presents an intellectual and academic interface between the medical and the data science domains that is symmetric and balanced. The content consists of basic concepts of artificial intelligence and its real-life applications in a myriad of medical areas as well as medical and surgical subspecialties. It brings section summaries to emphasize key concepts delineated in each section; mini-topics authored by world-renowned experts in the respective key areas for their personal perspective; and a compendium of practical resources, such as glossary, references, best articles, and top companies. The goal of the book is to inspire clinicians to embrace the artificial intelligence methodologies as well as to educate data scientists about the medical ecosystem, in order to create a transformational paradigm for healthcare and medicine by using this emerging new technology., Intelligence-Based Medicine: Data Science, Artificial Intelligence, and Human Cognition in Clinical Medicine and Healthcare provides a multidisciplinary and comprehensive survey of artificial intelligence concepts and methodologies with real life applications in healthcare and medicine. Authored by a senior physician-data scientist, the book presents an intellectual and academic interface between the medical and the data science domains that is symmetric and balanced.The content consists of basic concepts of artificial intelligence and its real-life applications in a myriad of medical areas as well as medical and surgical subspecialties. It brings section summaries to emphasize key concepts delineated in each section; mini-topics authored by world-renowned experts in the respective key areas for their personal perspective; and a compendium of practical resources, such as glossary, references, best articles, and top companies.The goal of the book is to inspire clinicians to embrace the artificial intelligence methodologies as well as to educate data scientists about the medical ecosystem, in order to create a transformational paradigm for healthcare and medicine by using this emerging new technology.
LC Classification NumberR859.7.A78C43 2020
