Artificial Intelligence for Smart Healthcare

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 aut...

Full description

Bibliographic Details
Other Authors: Agarwal, Parul (Editor), Khanna, Kavita (Editor), Elngar, Ahmed A. (Editor), Obaid, Ahmed J. (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2023, 2023
Edition:1st ed. 2023
Series:EAI/Springer Innovations in Communication and Computing
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
LEADER 03316nmm a2200385 u 4500
001 EB002167649
003 EBX01000000000000001304981
005 00000000000000.0
007 cr|||||||||||||||||||||
008 230704 ||| eng
020 |a 9783031236020 
100 1 |a Agarwal, Parul  |e [editor] 
245 0 0 |a Artificial Intelligence for Smart Healthcare  |h Elektronische Ressource  |c edited by Parul Agarwal, Kavita Khanna, Ahmed A Elngar, Ahmed J. Obaid, Zdzislaw Polkowski 
250 |a 1st ed. 2023 
260 |a Cham  |b Springer International Publishing  |c 2023, 2023 
300 |a XVIII, 529 p. 1 illus  |b online resource 
505 0 |a Introduction -- Section–1: 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 existingchallenges -- Section 4: Practical aspect -- Case study on Covid-19 -- Conclusion 
653 |a Health Informatics 
653 |a Computational intelligence 
653 |a Medical informatics 
653 |a Artificial Intelligence 
653 |a Computational Intelligence 
653 |a Telecommunication 
653 |a Artificial intelligence 
653 |a Communications Engineering, Networks 
700 1 |a Khanna, Kavita  |e [editor] 
700 1 |a Elngar, Ahmed A.  |e [editor] 
700 1 |a Obaid, Ahmed J.  |e [editor] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
490 0 |a EAI/Springer Innovations in Communication and Computing 
028 5 0 |a 10.1007/978-3-031-23602-0 
856 4 0 |u https://doi.org/10.1007/978-3-031-23602-0?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 621.382 
520 |a 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