Artificial Intelligence-based System Models in Healthcare - Couverture rigide

Couverture rigide

ISBN 10 : 1394242492 ISBN 13 : 9781394242498

Editeur : Wiley-Scrivener, 2024

Synopsis

Artificial Intelligence-Based System Models in Healthcare provide a comprehensive and insightful guide to the transformative applications of AI in the healthcare system. As technological advancements reshape medical practices, this handbook serves as a roadmap for researchers, healthcare professionals, and technology enthusiasts in the evolving healthcare delivery of AI-based systems. The contributor's and editors' knowledge provides a valuable resource to help understand how AI-based solutions will improve patient care and inspire the advancements of cutting-edge solutions.

This book is edited into three sections, focusing on healthcare systems and AI-based system models. The first section explores the introduction to healthcare systems, focusing on the fundamental role of technology in reshaping the healthcare landscape. This section offers a unique perspective, emphasizing the integration of technology into healthcare ecosystems. The second part takes a deep dive into specific AI-based system model applications. From valuable insights into how AI systems offer valuable insights into the potential impact of patient outcomes, it also delves into topics of machine learning, image analysis, and biomedical text processing. The final section covers the future landscape of AI applications in healthcare practices. This section concludes by exploring the frontiers of AI-driven healthcare innovations and how they will aid the future of healthcare.

A propos du livre

À propos de l?auteur

A. Jose Anand, PhD, is a professor in the Department of ECE, KCG College of Technology, Chennai, Tamil Nadu, India. He obtained his doctorate in information and communication engineering from Anna University in 2017 and has published several papers in national and international journals. He has also authored books on various engineering topics.

K. Kalaiselvi, PhD, is an associate professor in the Department of Computer Applications, Saveetha College of Liberal Arts and Sciences, Chennai, Tamil Nadu, India. With more than 20 years of teaching and research experience, she has published more than 80 articles in SCI journals, presented more than 20 research papers at international conferences, has been granted a patent based on the Internet of Things applications, and published 10 monographs. In addition, she received the 'Senior Woman Educator & Scholar Award' in 2020 from the National Foundation for Entrepreneurship Development.

Jyotir Moy Chatterjee, is an assistant professor in the Department of CSE, Graphic Era University, Dehradun, Uttarakhand, India. Additionally, he is an assistant professor in the Department of IT at the Lord Buddha Education Foundation, Kathmandu, Nepal. His research interests include machine learning and the Internet of Things. He was also the Young Ambassador of the Scientific Research Group of Egypt for 2020-2021. He has edited many books of which several are with the Wiley-Scrivener imprint.

Détails de l'édition

• Éditeur: Wiley-Scrivener
• Date d'édition: 2024
• Langue: anglais
• ISBN 10: 1394242492
• ISBN 13: 9781394242498
• Reliure: Relié
• Nombre de pages: 512
• Éditeur: Anand A. Jose, Kalaiselvi K., Chatterjee Jyotir Moy
• Coordonnées du fabricant: JOSSEY-BASS; https://www.wiley.com/en-us; ; 111 River Street; Hoboken; NJ; 7030; Etats-Unis
• Personne responsable: non disponible