The healthcare industry stands at a pivotal moment, with technological innovations transforming every aspect of care delivery. Artificial Intelligence (AI) and Machine Learning (ML) are no longer just theoretical concepts or experimental tools, they have become integral to advancing medical research, diagnosis, treatment, and patient care. This book seeks to provide a comprehensive exploration of this dynamic intersection between technology and healthcare, exploring how innovation can address healthcare's most pressing challenges. It aims to bridge the gap between technical expertise and clinical application, making the subject accessible to a diverse audience-healthcare professionals, technologists, policymakers, and students alike. Throughout these pages, we delve into the core principles of AI and ML, explore groundbreaking case studies, and examine the ethical, regulatory, and implementation challenges that come with integrating these technologies into healthcare systems.
Auflage
Sprache
Verlagsort
Newcastle upon Tyne
Großbritannien
Zielgruppe
Editions-Typ
Produkt-Hinweis
Maße
Höhe: 212 mm
Breite: 148 mm
ISBN-13
978-1-0364-5244-5 (9781036452445)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
N.Gayathri received her Ph.D (Information and Communication Engineering) from Anna University Chennai, India. She received her M.E. degree in Computer Science and Engineering, B. Tech. degree in Information Technology from Thiagarajar College of Engineering, India. She has several SCI and Scopus publications to her credit.S.Rakesh Kumar received his Ph.D (Information and Communication Engineering) from Anna University Chennai. He received his M.E. degree in Computer Science and Engineering from Thiagarajar College of Engineering and B.Tech. degree in Computer Science and Engineering from Anna University Chennai. He has several publications in journals, conference proceedings and edited volumes.Prof Vamsidhar Yendapalli received his Ph.D (Computer Science and Engineering) from GITAM School of Technology. He has several publications in numerous journals. His research interests include Sustainable Software Models, and AI in the domains of Agriculture, and Automotive.Keshav Kaushik is an expert in cybersecurity and digital forensics, serving as an Associate Professor in the Department of Computer Science & Engineering, Sharda School of Engineering & Technology, Sharda University, India.. He is also the Vice-Chairperson of the Meerut ACM Professional Chapter and a key member of the Cybersecurity Centre of Excellence. Keshav has published over 150 works, including 25 peer-reviewed articles and over 50 conference papers, with 30 books and 25 book chapters.
