Industry 4. 0 and healthcare: Impact of artificial intelligence

Contributor(s):

Material type: Text

TextSeries: Advanced Technologies and Societal Change (ATSC)Publication details: Springer Cham 2023Description: vi, 251 pISBN:

9789819919482

Subject(s):

Helathcare

DDC classification:

658.04 MIS

Summary: This book presents different stages of Industrial Revolution in artificial intelligence and its impact on industry 4.0 and Healthcare. It contains chapters prepared for the industrial landscape which is being transformed to the fourth stage with the rise of autonomous robots, contemporary automation, cyber-physical systems, the Internet of things, and the Internet of services for examining the circumstances of health care system for the future. It highlights the emerging trends in integration of different intelligent manufacturing systems and advanced information technologies. Additionally, understanding of the real-world issues using artificial intelligence and the solutions discussed in this book help the enormous numbers of techniques which can be applied for effective diagnosis and predicting diseases from health care data. (https://link.springer.com/book/10.1007/978-981-99-1949-9)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Public Policy & General Management	658.04 MIS (Browse shelf(Opens below))	1	Available		007852

Table of contents:
Front Matter
Pages i-vi
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An Artificial Intelligence-Based Model for the Detection of Heart Disease Using Machine Learning
Vishal Paranjape, Neelu Nihalani, Nishchol Mishra
Pages 1-18
Recent Advancements in AI-Assisted Drug Design and Discovery Systems
Kamal Nayan, Karan Kumar Paswan, Vinamra Bhushan Sharma, Yogendra Kumar, Saurabh Tewari
Pages 19-36
Designing Dense-Healthcare IOT Networks for Industry 4.0 Using AI-Based Energy Efficient Reinforcement Learning Protocol
Susheel Kumar Gupta, Sugan Patel, Praveen Kumar Mannepalli, Sapna Gangrade
Pages 37-58
The Impact of Artificial Intelligence on Healthcare
Shivshankar Rajput, Praveen Bhanodia, Kamal K. Sethi, Narendra Pal Singh Rathore
Pages 59-79
Brain Tumor Segmentation of MR Images Using SVM and Fuzzy Classifier in Machine Learning
Ashish Mishra, Meena Tiwari, Jyoti Mishra, Bui Thanh Hung
Pages 81-112
Artificial Intelligent Model for Riot and Violence Detection that Largely Affect Societal Health and Local Healthcare System
Mahaveer Jain, Praveen Bhanodia, Kamal K. Sethi
Pages 113-131
How Artificial Intelligence is Transforming Medicine: The Future of Pharmaceutical Research
Pankaj Sharma, Vinay Jain, Mukul Tailang
Pages 133-150
Impression of Big Data Analytics and Artificial Intelligence for Healthcare—A Study
Sonali Vyas, Dinesh Bhatia, Sunil Gupta
Pages 151-171
Artificial Intelligence Based Querying of Healthcare Data Processing
UmaPavan Kumar Kethavarapu, Praveen Kumar Mannepalli, Bhavanam Lakshma Reddy, Pusapati Siva Prasad, Ashish Mishra, Sateesh Nagavarapu
Pages 173-184
A Disaster Management System Powered by AI and Built for Industry 4.0
Raj Kumar Singh, Ishan Srivastava, Vandana Dubey
Pages 185-205
A Vision for Industry 4.0 Utilising AI Techniques and Methods
L. Bhagyalakshmi, Rajeev Srivastava, Himanshu Shekhar, Sanjay Kumar Suman
Pages 207-221
Artificial Intelligence and Optimization Strategies in Industrial IoT Applications
Yu-Chung Wang, Jerry Chun-Wei Lin
Pages 223-251
(https://link.springer.com/book/10.1007/978-981-99-1949-9)

This book presents different stages of Industrial Revolution in artificial intelligence and its impact on industry 4.0 and Healthcare. It contains chapters prepared for the industrial landscape which is being transformed to the fourth stage with the rise of autonomous robots, contemporary automation, cyber-physical systems, the Internet of things, and the Internet of services for examining the circumstances of health care system for the future. It highlights the emerging trends in integration of different intelligent manufacturing systems and advanced information technologies. Additionally, understanding of the real-world issues using artificial intelligence and the solutions discussed in this book help the enormous numbers of techniques which can be applied for effective diagnosis and predicting diseases from health care data.

(https://link.springer.com/book/10.1007/978-981-99-1949-9)

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