Articoli correlati a Artificial Intelligence-based System Models in Healthcare
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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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull?autore
A. Jose Anand, Ph.D., is a professor in the Department of ECE, KCG College of Technology, Chennai, Tamil Nadu, India. He obtained a Ph.D. in information and communication engineering from Anna University in 2017. He published several papers in national and international journals and also published books on polytechnic & engineering subjects.
K. Kalaiselvi, Ph.D., is an associate professor in the Department of Computer Applications, Saveetha College of Liberal Arts and Sciences, Chennai, Tamil Nadu, India. She has completed a mini-project on mobile tracking systems and delivered lectures at national and international conferences on her current research areas. She developed E-Content for the Database Management Systems course, SAP Course. In addition, she received the ‘Senior Woman Educator & Scholar Award’ in 2020.
Jyotir Moy Chatterjee, Ph.D., 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 is also the Young Ambassador of the Scientific Research Group of Egypt for 2020-2021.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Hardcover. Condizione: new. Hardcover. Artificial Intelligence-Based System Models in Healthcare provides a comprehensive and insightful guide to the transformative applications of AI in the healthcare system. This book is a groundbreaking exploration of the synergies between artificial intelligence and healthcare innovation. In an era where technological advancements are reshaping the landscape of medical practices, this book provides a comprehensive and insightful guide to the transformative applications of AI in healthcare systems. From conceptual foundations to practical implementations, the book serves as a roadmap for understanding the intricate relationships between AI-based system models and the evolution of healthcare delivery. The first section delves into the fundamental role of technology in reshaping the healthcare landscape. With a focus on daily life activities, decision support systems, vision-based management, and semantic frameworks, this section lays the groundwork for understanding the pivotal role of AI in revolutionizing traditional healthcare approaches. Each chapter offers a unique perspective, emphasizing the intricate integration of technology into healthcare ecosystems. The second section takes a deep dive into specific applications of AI, ranging from predictive analysis and machine learning to deep learning, image analysis, and biomedical text processing. With a focus on decision-making support systems, this section aims to demystify the complex world of AI algorithms in healthcare, offering valuable insights into their practical implications and potential impact on patient outcomes. The final section addresses the modernization of healthcare practices and envisions the future landscape of AI applications. From medical imaging and diagnostics to predicting ventilation needs in intensive care units, modernizing health record maintenance, natural language processing, chatbots for medical inquiries, secured health insurance management, and glimpses into the future, the book concludes by exploring the frontiers of AI-driven healthcare innovations. Audience This book is intended for researchers and postgraduate students in artificial intelligence and the biomedical and healthcare sectors. Medical administrators, policymakers and regulatory specialists will also have an interest. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781394242498
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Condizione: New. Über den AutorA. Jose Anand, Ph.D., is a professor in the Department of ECE, KCG College of Technology, Chennai, Tamil Nadu, India. He obtained a Ph.D. in information and communication engineering from Anna University in 2. Codice articolo 1320731346
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Hardcover. Condizione: new. Hardcover. Artificial Intelligence-Based System Models in Healthcare provides a comprehensive and insightful guide to the transformative applications of AI in the healthcare system. This book is a groundbreaking exploration of the synergies between artificial intelligence and healthcare innovation. In an era where technological advancements are reshaping the landscape of medical practices, this book provides a comprehensive and insightful guide to the transformative applications of AI in healthcare systems. From conceptual foundations to practical implementations, the book serves as a roadmap for understanding the intricate relationships between AI-based system models and the evolution of healthcare delivery. The first section delves into the fundamental role of technology in reshaping the healthcare landscape. With a focus on daily life activities, decision support systems, vision-based management, and semantic frameworks, this section lays the groundwork for understanding the pivotal role of AI in revolutionizing traditional healthcare approaches. Each chapter offers a unique perspective, emphasizing the intricate integration of technology into healthcare ecosystems. The second section takes a deep dive into specific applications of AI, ranging from predictive analysis and machine learning to deep learning, image analysis, and biomedical text processing. With a focus on decision-making support systems, this section aims to demystify the complex world of AI algorithms in healthcare, offering valuable insights into their practical implications and potential impact on patient outcomes. The final section addresses the modernization of healthcare practices and envisions the future landscape of AI applications. From medical imaging and diagnostics to predicting ventilation needs in intensive care units, modernizing health record maintenance, natural language processing, chatbots for medical inquiries, secured health insurance management, and glimpses into the future, the book concludes by exploring the frontiers of AI-driven healthcare innovations. Audience This book is intended for researchers and postgraduate students in artificial intelligence and the biomedical and healthcare sectors. Medical administrators, policymakers and regulatory specialists will also have an interest. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9781394242498
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