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Revolutionizing healthcare 5.0 : the power of generative AI = advancements in patient care through generative AI algorithms /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Revolutionizing healthcare 5.0 : the power of generative AI/ edited by Pronaya Bhattacharya ... [et al.].
其他題名:	advancements in patient care through generative AI algorithms /
其他作者:	Bhattacharya, Pronaya.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	ix, 476 p. :ill. (chiefly color), digital ;24 cm.
內容註:	The emerging healthcare landscape -- AI for Healthcare 5.0: A shift towards personalized healthcare -- Transition to Generative AI in Healthcare 5.0 -- Drug Synthesis through Generative AI Models -- Generative AI for Data Augmentation in Clinical Trials -- Generative AI models for Personalized Healthcare -- Generative Deep Models for Medical Imaging -- Generative AI-driven fitness and real-time healthcare monitoring and control -- The future of Surgery and Anatomical Operations via Generative AI -- Generative models for AR/VR assisted Healthcare 5.0 -- Accuracy and Reliability of Synthetic Data Generation.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Medical applications. -
電子資源:	https://doi.org/10.1007/978-3-031-75771-6
ISBN:	9783031757716

Revolutionizing healthcare 5.0 : the power of generative AI = advancements in patient care through generative AI algorithms /
Revolutionizing healthcare 5.0 : the power of generative AIadvancements in patient care through generative AI algorithms /[electronic resource] :edited by Pronaya Bhattacharya ... [et al.]. - Cham :Springer Nature Switzerland :2024. - ix, 476 p. :ill. (chiefly color), digital ;24 cm. - Studies in systems, decision and control,v. 5712198-4190 ;. - Studies in systems, decision and control ;v. 571..

The emerging healthcare landscape -- AI for Healthcare 5.0: A shift towards personalized healthcare -- Transition to Generative AI in Healthcare 5.0 -- Drug Synthesis through Generative AI Models -- Generative AI for Data Augmentation in Clinical Trials -- Generative AI models for Personalized Healthcare -- Generative Deep Models for Medical Imaging -- Generative AI-driven fitness and real-time healthcare monitoring and control -- The future of Surgery and Anatomical Operations via Generative AI -- Generative models for AR/VR assisted Healthcare 5.0 -- Accuracy and Reliability of Synthetic Data Generation.

This book serves as a critical resource that bridges the gap between burgeoning technology and its practical implementation. The book starts with an in-depth exploration of healthcare 5.0 principles, laying the foundation for the reader to understand the current shifts in healthcare paradigms. Then, it dives into the intricacies of generative models in healthcare, detailing how these algorithms work and the applications they serve. The book further delves into the subsets of generative machine learning and deep learning techniques in healthcare. As we move towards more complex applications, the book takes a turn to address the critical subject of interpretability and explainability in generative models, a topic that resonates profoundly given the life-critical nature of medical decisions. Finally, the book concludes with a robust discussion on the security and privacy concerns that accompany the deployment of GAI in real healthcare settings. By offering a multidimensional viewpoint-coupled with case studies, statistical analyses, and expert insights-the book ensures that the reader is left with a nuanced understanding of how GAI can be both a boon and a challenge in healthcare. As such, the proposed book serves as an indispensable resource for healthcare professionals, data scientists, researchers, and anyone invested in the future of healthcare and AI.

ISBN: 9783031757716

Standard No.: 10.1007/978-3-031-75771-6doiSubjects--Topical Terms:

900591
Artificial intelligence
--Medical applications.

LC Class. No.: R859.7.A78

Dewey Class. No.: 610.28563

Revolutionizing healthcare 5.0 : the power of generative AI = advancements in patient care through generative AI algorithms /
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520 $a This book serves as a critical resource that bridges the gap between burgeoning technology and its practical implementation. The book starts with an in-depth exploration of healthcare 5.0 principles, laying the foundation for the reader to understand the current shifts in healthcare paradigms. Then, it dives into the intricacies of generative models in healthcare, detailing how these algorithms work and the applications they serve. The book further delves into the subsets of generative machine learning and deep learning techniques in healthcare. As we move towards more complex applications, the book takes a turn to address the critical subject of interpretability and explainability in generative models, a topic that resonates profoundly given the life-critical nature of medical decisions. Finally, the book concludes with a robust discussion on the security and privacy concerns that accompany the deployment of GAI in real healthcare settings. By offering a multidimensional viewpoint-coupled with case studies, statistical analyses, and expert insights-the book ensures that the reader is left with a nuanced understanding of how GAI can be both a boon and a challenge in healthcare. As such, the proposed book serves as an indispensable resource for healthcare professionals, data scientists, researchers, and anyone invested in the future of healthcare and AI.
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