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Artificial intelligence for smart he...

Agarwal, Parul.

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Artificial intelligence for smart healthcare

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial intelligence for smart healthcare/ edited by Parul Agarwal ... [et al.].
其他作者:	Agarwal, Parul.
出版者:	Cham :Springer International Publishing : : 2023.,
面頁冊數:	xviii, 529 p. :ill., digital ;24 cm.
內容註:	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 existing challenges -- Section 4: Practical aspect -- Case study on Covid-19 -- Conclusion.
Contained By:	Springer Nature eBook
標題:	Medical innovations. -
電子資源:	https://doi.org/10.1007/978-3-031-23602-0
ISBN:	9783031236020

Artificial intelligence for smart healthcare
Artificial intelligence for smart healthcare[electronic resource] /edited by Parul Agarwal ... [et al.]. - Cham :Springer International Publishing :2023. - xviii, 529 p. :ill., digital ;24 cm. - EAI/Springer innovations in communication and computing,2522-8609. - EAI/Springer innovations in communication and computing..

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 existing challenges -- Section 4: Practical aspect -- Case study on Covid-19 -- Conclusion.

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.

ISBN: 9783031236020

Standard No.: 10.1007/978-3-031-23602-0doiSubjects--Topical Terms:

605994
Medical innovations.

LC Class. No.: RA418.5.M4

Dewey Class. No.: 610.28563

Artificial intelligence for smart healthcare
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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 existing challenges -- Section 4: Practical aspect -- Case study on Covid-19 -- Conclusion.
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.
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