Title
Artificial intelligence-based system models in healthcare / edited by A. Jose Anand, K. Kalaiselvi, and Jyotir Moy Chatterje.
ISBN
9781394242528
1394242522
9781394242511
1394242514
9781394242498
1394242492
Publication
Hoboken, NJ : John Wiley & Sons, Inc. ; Beverly, MA : Scivener Publishing LLC, 2024.
Copyright Notice Date
©2024
Physical Description
1 online resource.
Local Notes
Access is available to the Yale community.
Notes
Description based on online resource; title from digital title page (viewed on October 15, 2024).
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
O'Reilly Safari. OCLC KB.
Other formats
Print version:
Added to Catalog
October 30, 2024
Series
Machine learning in biomedical science and healthcare informatics