Artificial intelligence for smart healthcare / Parul Agarwal, Kavita Khanna, Ahmed A. Elngar, Ahmed J. Obaid, Zdzislaw Polkowski, editors.
Agarwal, Parul, editor.; Khanna, Kavita, editor.; Elngar, Ahmed A., editor.; Obaid, Ahmed J. (Ahmed Jabbar), editor.; Polkowski, Zdzislaw, editor.
2023
RA418.5.M4
Available Online

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Title Artificial intelligence for smart healthcare / Parul Agarwal, Kavita Khanna, Ahmed A. Elngar, Ahmed J. Obaid, Zdzislaw Polkowski, editors.
ISBN 9783031236020 (electronic bk.)
3031236025 (electronic bk.)
3031236017
9783031236013
DOI https://doi.org/10.1007/978-3-031-23602-0
Published Cham : Springer, [2023]
Copyright ©2023
Language English
Description 1 online resource (xviii, 529 pages) : illustrations.
Other Standard Identifiers 10.1007/978-3-031-23602-0 doi
Call Number RA418.5.M4
Dewey Decimal Classification 610.28563
Summary This book provides information on interdependencies of medicine and telecommunications engineering and how the two must rely on each other to effectively function in this era. The book discusses new techniques for medical service improvisation such as clear-cut views on medical technologies. The authors provide chapters on communication essentiality in healthcare, processing of medical amenities using medical images, the importance of data and information technology in medicine, and machine learning and artificial intelligence in healthcare. Authors include researchers, academics, and professionals in the field. Provides insight into communication technologies that govern the current healthcare sector; Includes a comprehensive introduction of artificial intelligence in healthcare; Discusses various machine learning algorithms applied in the field of medicine.
Note Includes index.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Agarwal, Parul, editor.
Khanna, Kavita, editor.
Elngar, Ahmed A., editor.
Obaid, Ahmed J. (Ahmed Jabbar), editor.
Polkowski, Zdzislaw, editor.
Series EAI/Springer innovations in communication and computing.
Available in Other Form ARTIFICIAL INTELLIGENCE FOR SMART HEALTHCARE.
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Record Appears in Online Resources > Ebooks
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Introduction
Section1: Fundamentals
Introduction to Technologies for Smart healthcare
Drivers and inhibitors of AI in Smart Healthcare
Current scenario of healthcare compared with smart healthcare
Section-2: Technologies for Smart healthcare
Big data analytics in healthcare
Deep Learning/ Machine learning based diagnostic model for personalized healthcare
Disease diagnosis and treatment using AI
AI in medical devices: development and usage, challenges and future frontiers
AI and drug discovery
Predictive modelling for diseases and pandemics
Robotics and AI
IoT/ IoE based architecture for healthcare
Advances in M-Health and E-Health
Emerging trends, paradigms and technologies in smart healthcare
Section- 3: Challenges and solutions
Security and Privacy of medical Data/ electronic health records
Ethical and legal implications of AI driven healthcare
Strategies and policies as solutions to the existing challenges
Section 4: Practical aspect
Case study on Covid-19
Conclusion.

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