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Artificial Intelligence In Clinical Practice Chayakrit Krittanawong

  • SKU: BELL-53267686
Artificial Intelligence In Clinical Practice Chayakrit Krittanawong
$ 31.00 $ 45.00 (-31%)

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Artificial Intelligence In Clinical Practice Chayakrit Krittanawong instant download after payment.

Publisher: Elsevier
File Extension: PDF
File size: 19.66 MB
Pages: 550
Author: Chayakrit Krittanawong
ISBN: 9780443156892, 9780443156885, 0443156883, 0443156891
Language: English
Year: 2023

Product desciption

Artificial Intelligence In Clinical Practice Chayakrit Krittanawong by Chayakrit Krittanawong 9780443156892, 9780443156885, 0443156883, 0443156891 instant download after payment.

Artificial Intelligence in Clinical Practice: How AI Technologies Impact Medical Research and Clinics compiles current research on Artificial Intelligence within medical subspecialties, helping practitioners with diagnosis, clinical decision-making, disease prediction, prevention, and the facilitation of precision medicine. The book defines the basic concepts of big data and AI in medicine and highlights current applications, challenges, ethical issues, and biases. Each chapter discusses AI applied to a specific medical subspecialty, including primary care, preventive medicine, general internal medicine, radiology, pathology, infectious disease, gastroenterology, cardiology, hematology, oncology, dermatology, ophthalmology, mental health, neurology, pulmonary, critical care, rheumatology, surgery, and OB-GYN. This is a valuable resource for clinicians, students, researchers and members of medical and biomedical fields who are interested in learning more about artificial intelligence technologies and their applications in medicine. Provides the history and overview of the various modalities of AI and their applications within each field of medicine Discusses current AI-based medical research, including landmark trials within each field of medicine Addresses the current knowledge gaps that clinicians commonly face that prevent the application of AI-based research to clinical practice Encompasses examples of specific cases and discusses challenges and biases associated with AI

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