Deep Learning in Biomedical and Health Informatics: Current Applications and Possibilities

This book explores the relationship between Artificial Intelligence (AI) and healthcare, discussing how AI is transforming the industry and the role of deep learning in diagnosis and disease prediction. It provides a comprehensive review of research applying deep learning in health informatics across medical imaging, electronic health records, genomics, and sensing, highlighting challenges and applications. The editors aim to provide new theories, techniques, and developments in deep learning for solving emerging problems in healthcare and other domains.

Format: Hardback
Length: 202 pages
Publication date: 27 September 2021
Publisher: Taylor & Francis Ltd

This comprehensive book delves into the intricate relationship between Artificial Intelligence (AI) and healthcare, exploring how AI is revolutionizing every aspect of the healthcare industry. It also provides a detailed account of how deep learning is playing a pivotal role in diagnosing and predicting the spread of diseases. The editors have assembled a comprehensive review of research applying deep learning in health informatics, encompassing areas such as medical imaging, electronic health records, genomics, and sensing. They highlight various challenges and opportunities associated with the implementation of deep learning in healthcare. Additionally, the book showcases real-world applications and case studies across various domains of AI in healthcare data. The editors aim to introduce new theories, techniques, developments, and applications of deep learning, while also addressing emerging problems in healthcare and other fields. This book is a valuable resource for computer scientists, biomedical engineers, and healthcare professionals engaged in research and development of deep learning techniques.

The book begins by providing an overview of the relationship between AI and healthcare, highlighting the transformative impact that AI is having on the industry. It explores how AI is being used to improve patient care, enhance medical research, and streamline healthcare operations. The editors then delve into the use of deep learning in healthcare, discussing its potential for accurate diagnosis, personalized treatment plans, and disease prediction. They showcase examples of how deep learning is being applied in medical imaging, such as CT scans and MRI images, to detect and diagnose diseases with greater precision.

In the next section, the book presents a comprehensive review of research applying deep learning in health informatics across multiple fields. The editors highlight the latest advancements in medical imaging, electronic health records, genomics, and sensing, and how deep learning is being used to analyze and interpret large amounts of data. They discuss the challenges and limitations of applying deep learning in healthcare, such as the need for large datasets, the complexity of medical images, and the ethical considerations associated with using personal health information.

The book also highlights the importance of interdisciplinary collaboration in the field of deep learning in healthcare. It emphasizes the need for collaboration between computer scientists, biomedical engineers, healthcare professionals, and policymakers to ensure the safe and effective implementation of AI-based solutions. The editors provide insights into the current research and development efforts in deep learning in healthcare, including the development of new algorithms, the integration of AI with other technologies, and the exploration of new applications in healthcare.

In conclusion, this book is a valuable resource for anyone interested in the intersection of AI and healthcare. It provides a comprehensive overview of the relationship between AI and healthcare, explores the uses of deep learning in healthcare, and highlights the latest research and development efforts in the field. The editors have assembled a team of experts from diverse backgrounds to provide insights and perspectives on the future of deep learning in healthcare. This book is intended for computer scientists, biomedical engineers, healthcare professionals, and policymakers who are interested in advancing the field of AI-based healthcare solutions.

Weight: 486g
Dimension: 159 x 242 x 20 (mm)
ISBN-13: 9780367726041