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Artificial intelligence and machine ...

Yadav, Dharmendra Kumar.

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Artificial intelligence and machine learning in healthcare

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial intelligence and machine learning in healthcare/ edited by Dharmendra Kumar Yadav, Anamika Gulati.
其他作者:	Yadav, Dharmendra Kumar.
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	vi, 187 p. :ill. (some col.), digital ;24 cm.
內容註:	Chapter 1. Impact and Requirement of IoT Devices in Healthcare -- Chapter 2. Technologies and Innovations for Smart Healthcare System in Society 5.0 -- Chapter 3. Artificial Intelligence in Mental Health: An Overview -- Chapter 4. The Role of Internet of Things (IoT) in Healthcare: Applications and Implementation. Chapter 5 -- Artificial Intelligence in Russia's Health Sector: An Analytical Perspective.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Medical applications. -
電子資源:	https://doi.org/10.1007/978-981-99-6472-7
ISBN:	9789819964727

Artificial intelligence and machine learning in healthcare
Artificial intelligence and machine learning in healthcare[electronic resource] /edited by Dharmendra Kumar Yadav, Anamika Gulati. - Singapore :Springer Nature Singapore :2023. - vi, 187 p. :ill. (some col.), digital ;24 cm.

Chapter 1. Impact and Requirement of IoT Devices in Healthcare -- Chapter 2. Technologies and Innovations for Smart Healthcare System in Society 5.0 -- Chapter 3. Artificial Intelligence in Mental Health: An Overview -- Chapter 4. The Role of Internet of Things (IoT) in Healthcare: Applications and Implementation. Chapter 5 -- Artificial Intelligence in Russia's Health Sector: An Analytical Perspective.

This book is about the use of artificial intelligence (AI) and machine learning in healthcare. AI and related technologies are increasingly prevalent in business and society and are beginning to be applied to healthcare. These technologies have the potential to transform many aspects of patient care, as well as administrative processes within provider, payer, and pharmaceutical organizations. There are already a number of research studies suggesting that AI can perform as well as or better than humans at key healthcare tasks, such as diagnosing disease. Today, algorithms are already outperforming radiologists at spotting malignant tumors and guiding researchers in how to construct cohorts for costly clinical trials. However, for a variety of reasons, the authors believe that it will be many years before AI replaces humans for broad medical process domains. Through this book, the authors describe both the potential that AI offers to automate aspects of care and some of the barriers to rapid implementation of AI in healthcare.

ISBN: 9789819964727

Standard No.: 10.1007/978-981-99-6472-7doiSubjects--Topical Terms:

900591
Artificial intelligence
--Medical applications.

LC Class. No.: R859.7.A78 / A78 2023

Dewey Class. No.: 610.28563

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505 0 $a Chapter 1. Impact and Requirement of IoT Devices in Healthcare -- Chapter 2. Technologies and Innovations for Smart Healthcare System in Society 5.0 -- Chapter 3. Artificial Intelligence in Mental Health: An Overview -- Chapter 4. The Role of Internet of Things (IoT) in Healthcare: Applications and Implementation. Chapter 5 -- Artificial Intelligence in Russia's Health Sector: An Analytical Perspective.
520 $a This book is about the use of artificial intelligence (AI) and machine learning in healthcare. AI and related technologies are increasingly prevalent in business and society and are beginning to be applied to healthcare. These technologies have the potential to transform many aspects of patient care, as well as administrative processes within provider, payer, and pharmaceutical organizations. There are already a number of research studies suggesting that AI can perform as well as or better than humans at key healthcare tasks, such as diagnosing disease. Today, algorithms are already outperforming radiologists at spotting malignant tumors and guiding researchers in how to construct cohorts for costly clinical trials. However, for a variety of reasons, the authors believe that it will be many years before AI replaces humans for broad medical process domains. Through this book, the authors describe both the potential that AI offers to automate aspects of care and some of the barriers to rapid implementation of AI in healthcare.
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