Artificial Intelligence in Healthcare
Advancements, Security, and Internet of Things
1st Edition
Will be published approx. on 22. October 2026
376 pages
E-Book
978-1-040-99863-2 (ISBN)
Description
The book explores the applications of artificial intelligence in healthcare systems, with a focus on its use in diagnosis, treatment, and prevention. It provides an overview of the current state of artificial intelligence in healthcare and discusses the challenges and opportunities of implementing intelligent healthcare systems. The text covers topics such as assistive technology for remote patient monitoring, and applications of explainable artificial intelligence in healthcare.
This book:
Covers a comprehensive overview of the current applications of artificial intelligence in healthcare, including diagnostic imaging, drug discovery, patient monitoring, and personalized medicine.
Discusses data management techniques for healthcare, classification techniques for diagnosis, and risk assessment.
Presents clustering techniques for patient stratification and dimensionality reduction techniques for feature selection.
Explains neural networks for healthcare predictions and convolutional neural networks for medical imaging analysis.
Illustrates big data analytics, management, and data security aspects in biomedical applications.
It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, computer engineering, and biomedical engineering.
This book:
Covers a comprehensive overview of the current applications of artificial intelligence in healthcare, including diagnostic imaging, drug discovery, patient monitoring, and personalized medicine.
Discusses data management techniques for healthcare, classification techniques for diagnosis, and risk assessment.
Presents clustering techniques for patient stratification and dimensionality reduction techniques for feature selection.
Explains neural networks for healthcare predictions and convolutional neural networks for medical imaging analysis.
Illustrates big data analytics, management, and data security aspects in biomedical applications.
It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, computer engineering, and biomedical engineering.
More details
Series
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
27 Tables, black and white; 89 Line drawings, black and white; 9 Halftones, black and white; 98 Illustrations, black and white
ISBN-13
978-1-040-99863-2 (9781040998632)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Smita Nirkhi Singh | Vivek Kapur | Suman Lata Tripathi
Artificial Intelligence in Healthcare
Advancements, Security, and Internet of Things
Book
approx. 10/2026
1st Edition
CRC Press
€173.50
Not yet published
Persons
Smita Nirkhi is a distinguished academic and researcher with a Ph.D. in Computer Science and Engineering. Currently, she is working as an Associate Professor at Symbiosis Institute of Technology, Nagpur. She has 23 years of experience in teaching and research, with expertise in areas such as Artificial Intelligence, Data Mining, Digital Forensics, Cyber Security, Pattern Recognition, Machine Learning, and Deep Learning. Dr. Nirkhi has received numerous accolades, including the Outstanding Woman in Engineering Award (2019) by Venus International Foundation, the Best Teacher Award (2021) by Universal Innovators Leadership, the Nari Samman Award (2021) by Literoma, and the Elite Teacher Award (2021) by I2OR. She has published over 75 research papers in esteemed journals and at international conferences.
Dr. Nirkhi serves as an Editor for Scientific Reports and is an active peer reviewer and editorial board member for leading journals and IEEE conferences. She is a Senior Member of IEEE, a Fellow of the Institution of Engineers (India), and an active member of CSI, ISTE, and the Internet Society. She also leads various initiatives as the Branch Counselor for the IEEE Student Branch, Secretary of the IEEE Maharashtra Section, and Chair of the System Council Chapter of the IEEE Maharashtra Section.
Vivek Kapur is working as a Director at GHRCEM, Nagpur. He is a professional and dedicated academician with 20+ years of cross-functional experience in the areas of Strategic Planning, Project Management, Quality Assurance and Quality Enhancement of Technical Institutions, Outcome-Based Education, and Signal and Image Processing. He is an approved guide (Ph.D./M.Tech) of Nagpur University. He is appointed as an NBA Evaluator by the National Board of Accreditation, New Delhi. Also, he is a part of the delegations of the top universities of the USA. He is an active participant and contributor in NBA initiatives related to Quality Assurance and Quality Enhancement within Maharashtra. He is also a member of various LEC committees. He is a professional member of the IEI and ISTE, and a Senior Member of IEEE.
Suman Lata Tripathi is working as a Professor in the Department of E & TC, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India. She has also worked as a Professor at Lovely Professional University, India, with more than 23 years of experience in academics and research. She has completed her Ph.D. in the area of Microelectronics and VLSI Design from MNNIT, Allahabad. She completed her remote post-doc from Nottingham Trent University, London, UK, in the year 2022-23. Her area of expertise includes microelectronics device modeling and characterization, low-power VLSI circuit design, VLSI design of testing, advanced FET design for IoT, embedded system design, reconfigurable architecture with FPGAs, and biomedical applications.
Ved Prakash Mishra is working as Head of Academics, Assistant Professor, and Program Leader at Amity University Dubai, UAE. He is a Program Leader, Senior Member of IEEE, Ph.D., Quality Control (IQAC) Coordinator, and Conference Chair of ICCIKE 2023, ICCIKE 2021, and ICCIKE 2019. He has more than 15 years of experience. His areas of expertise include Computer Networks, Compiler Design, Cryptography, Network Security, and AI/ML.
Dr. Nirkhi serves as an Editor for Scientific Reports and is an active peer reviewer and editorial board member for leading journals and IEEE conferences. She is a Senior Member of IEEE, a Fellow of the Institution of Engineers (India), and an active member of CSI, ISTE, and the Internet Society. She also leads various initiatives as the Branch Counselor for the IEEE Student Branch, Secretary of the IEEE Maharashtra Section, and Chair of the System Council Chapter of the IEEE Maharashtra Section.
Vivek Kapur is working as a Director at GHRCEM, Nagpur. He is a professional and dedicated academician with 20+ years of cross-functional experience in the areas of Strategic Planning, Project Management, Quality Assurance and Quality Enhancement of Technical Institutions, Outcome-Based Education, and Signal and Image Processing. He is an approved guide (Ph.D./M.Tech) of Nagpur University. He is appointed as an NBA Evaluator by the National Board of Accreditation, New Delhi. Also, he is a part of the delegations of the top universities of the USA. He is an active participant and contributor in NBA initiatives related to Quality Assurance and Quality Enhancement within Maharashtra. He is also a member of various LEC committees. He is a professional member of the IEI and ISTE, and a Senior Member of IEEE.
Suman Lata Tripathi is working as a Professor in the Department of E & TC, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India. She has also worked as a Professor at Lovely Professional University, India, with more than 23 years of experience in academics and research. She has completed her Ph.D. in the area of Microelectronics and VLSI Design from MNNIT, Allahabad. She completed her remote post-doc from Nottingham Trent University, London, UK, in the year 2022-23. Her area of expertise includes microelectronics device modeling and characterization, low-power VLSI circuit design, VLSI design of testing, advanced FET design for IoT, embedded system design, reconfigurable architecture with FPGAs, and biomedical applications.
Ved Prakash Mishra is working as Head of Academics, Assistant Professor, and Program Leader at Amity University Dubai, UAE. He is a Program Leader, Senior Member of IEEE, Ph.D., Quality Control (IQAC) Coordinator, and Conference Chair of ICCIKE 2023, ICCIKE 2021, and ICCIKE 2019. He has more than 15 years of experience. His areas of expertise include Computer Networks, Compiler Design, Cryptography, Network Security, and AI/ML.
Content
1. The Current State of Healthcare and the Potential of Artificial Intelligence to Transform the Industry. 2. AI-Powered Anonymization for Secure Medical Data Sharing: Future Trends and Research Directions. 3. Harnessing the Potential of Artificial Intelligence for Transformative Healthcare Solutions. 4. Detection of Parkinson's Disease through Voice Samples. 5. Understanding Supervised and Unsupervised Learning Paradigms in Healthcare Artificial Intelligence. 6. AI Applications in Drug Discovery and Personalized Medicine. 7. Performance Evaluation of a Multi-Layer Model of Convolutional Neural Network (CNN) to Predict COVID-19 Using X-Ray of Chest Samples. 8. Intelligent Diabetes Diagnosis Using Bio-Inspired Algorithms Integrated with Machine Learning and Deep Learning Systems. 9. Assessing COVID-19 Transmission Patterns and Government Responses in India. 10. Wheelchair Movements Control Model implementation with FPGA. 11. Overview of Emerging AI Technologies and their Potential Impact on Healthcare. 12. Pharmacological Frontier for Drug Discovery System: A new path towards personalized medicine. 13. Revolutionizing Neurology with AI and IoT: Predictive Analytics and Real-Time Monitoring. 14. Deep Learning: A Transformative Force in Artificial Intelligence. 15. Case studies on the use of AI in precision medicine and targeted therapies.
