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Transforming healthcare sector through artificial intelligence and environmental sustainability

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Transforming healthcare sector through artificial intelligence and environmental sustainabilityedited by Rubee Singh ... [et al.].
其他作者:	Singh, Rubee.
出版者:	Singapore :Springer Nature Singapore :2024.
面頁冊數:	xviii, 276 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Artificial intelligenceMedical applications.
電子資源:	https://doi.org/10.1007/978-981-97-9555-0
ISBN:	9789819795550$q(electronic bk.)

Transforming healthcare sector through artificial intelligence and environmental sustainability
Transforming healthcare sector through artificial intelligence and environmental sustainability[electronic resource] /edited by Rubee Singh ... [et al.]. - Singapore :Springer Nature Singapore :2024. - xviii, 276 p. :ill. (some col.), digital ;24 cm. - Approaches to global sustainability, markets, and governance,2520-8780. - Approaches to global sustainability, markets, and governance..

Ai Integrated Healthcare and Environmental Sustainability -- Assessing the Impact of Artificial Intelligence on Healthcare Sector for Enhancing Sustainability -- Exploring the intersection of Ai Healthcare and Environmental Sustainability Future Trends and Challenges -- Bridging Human Interface and Technology A Critical Analysis of Artificial Intelligence for Hiring in the healthcare sector -- Artificial Intelligence-driven Technologies for Environmental Sustainability in the Healthcare Industry -- The Influence of Artificial Intelligence on the Healthcare Industry in Relation to Sustainability -- Patient Engagement and Data Security -- Transforming Healthcare through Smart Health Systems Harnessing Technology for Enhanced Patient Care -- Exploring Ethical Aspects and Regulatory Framework for Indias Sustainable Healthcare Sector in the Era of Artificial Intelligence -- Ethical Implications of Artificial Intelligence Ensuring Patient Data Security -- Artificial Intelligence Transparency and Explainability in Sustainable Healthcare.

This book explores the intersection of artificial intelligence (AI) and sustainability in healthcare, focusing on how AI technologies are transforming medical practices while promoting environmentally responsible operations. It examines how AI-driven tools like machine learning and data analysis enhance diagnostic accuracy, streamline treatment planning, and personalize patient care by analysing large datasets, including genetic information. Additionally, the book addresses how AI can support sustainable healthcare practices by optimizing resource usage, such as energy consumption in hospitals, and improving supply chain management to reduce environmental impact. Practical case studies demonstrate how these technologies are being implemented to improve patient outcomes and achieve sustainability goals. The book considers the integration of AI into human resource management within healthcare, discussing AI's role in recruitment, performance management, and employee retention aligned with sustainability objectives. Ethical and regulatory issues surrounding AI adoption, such as data privacy and algorithmic transparency, are thoroughly examined, with an emphasis on creating responsible and equitable AI systems. Designed for healthcare professionals and administrators, this book provides practical strategies and real-world examples of AI implementation in sustainable healthcare, offering a balanced view of the opportunities and challenges ahead.

ISBN: 9789819795550$q(electronic bk.)

Standard No.: 10.1007/978-981-97-9555-0doiSubjects--Topical Terms:

237917
Artificial intelligence
--Medical applications.

LC Class. No.: R859.7.A78

Dewey Class. No.: 610.28563

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520 $a This book explores the intersection of artificial intelligence (AI) and sustainability in healthcare, focusing on how AI technologies are transforming medical practices while promoting environmentally responsible operations. It examines how AI-driven tools like machine learning and data analysis enhance diagnostic accuracy, streamline treatment planning, and personalize patient care by analysing large datasets, including genetic information. Additionally, the book addresses how AI can support sustainable healthcare practices by optimizing resource usage, such as energy consumption in hospitals, and improving supply chain management to reduce environmental impact. Practical case studies demonstrate how these technologies are being implemented to improve patient outcomes and achieve sustainability goals. The book considers the integration of AI into human resource management within healthcare, discussing AI's role in recruitment, performance management, and employee retention aligned with sustainability objectives. Ethical and regulatory issues surrounding AI adoption, such as data privacy and algorithmic transparency, are thoroughly examined, with an emphasis on creating responsible and equitable AI systems. Designed for healthcare professionals and administrators, this book provides practical strategies and real-world examples of AI implementation in sustainable healthcare, offering a balanced view of the opportunities and challenges ahead.
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