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AI for Disease Surveillance and Pandemic Intelligence: Intelligent Disease Detection in Action

AI for Disease Surveillance and Pandemic Intelligence: Intelligent Disease Detection in Action

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  • More about AI for Disease Surveillance and Pandemic Intelligence: Intelligent Disease Detection in Action

The book highlights the latest achievements in AI for disease surveillance, pandemic intelligence, and public and clinical health surveillance. It provides an overview of the issues, challenges, and potentials in the field, along with new research results. The recent global health crisis has emphasized the importance of intelligent surveillance infrastructures for making sound decisions.

Format: Paperback / softback
Length: 331 pages
Publication date: 10 March 2023
Publisher: Springer Nature Switzerland AG


This book is a comprehensive exploration of the latest advancements in the application of artificial intelligence (AI) for digital disease surveillance, pandemic intelligence, and public and clinical health surveillance. It presents a collection of selected papers presented at the 2021 Health Intelligence workshop, which was co-located with the Association for the Advancement of Artificial Intelligence (AAAI) annual conference. The book offers an insightful overview of the field, highlighting the issues, challenges, and potential opportunities it presents, along with cutting-edge research results.

The importance of disease surveillance has been underscored by the recent global health crisis caused by COVID-19, emphasizing the need for robust and intelligent surveillance infrastructures to support timely decision-making. This book serves as a valuable resource for researchers, students, industry professionals, and public health agencies interested in exploring the applications of AI in population health and personalized medicine.

The book begins by providing an introduction to the field of AI in health surveillance, discussing its potential benefits and challenges. It then delves into specific applications, such as disease outbreak detection, real-time monitoring of public health indicators, and personalized medicine. Each chapter includes case studies and examples to illustrate the practical applications of AI in these areas.

One of the key strengths of this book is its multidisciplinary approach, bringing together experts from various fields, including computer science, public health, and medicine. The authors provide a comprehensive overview of the latest research and developments in AI, while also offering practical insights and recommendations for policymakers and practitioners.

The book also addresses the ethical and privacy concerns associated with AI in health surveillance, highlighting the need for robust regulations and guidelines to ensure the responsible and ethical use of AI technologies. It emphasizes the importance of transparency, accountability, and user-centered design in developing and implementing AI-based solutions.

In conclusion, this book is a valuable resource for anyone interested in the latest advancements in the application of AI for digital disease surveillance, pandemic intelligence, and public and clinical health surveillance. It provides a comprehensive overview of the field, highlights the potential benefits and challenges, and offers practical insights and recommendations for policymakers and practitioners. As AI continues to evolve and transform healthcare, this book will remain an essential guide for those seeking to leverage its power for the betterment of public health.

Weight: 539g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030930820
Edition number: 1st ed. 2022

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