Medical Informatics and Bioimaging Using Artificial Intelligence: Challenges, Issues, Innovations and Recent Developments

This book provides an overview of the latest developments and applications in artificial intelligence and medical diagnosis, covering theory, applications, and critical surveys.

Format: Paperback / softback
Length: 258 pages
Publication date: 17 December 2022
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the latest advancements and remarkable achievements in the realm of artificial intelligence and its interconnected technologies, with a strong emphasis on their applications in the field of medical diagnosis. It provides a thorough exploration of the theoretical foundations, practical applications, concept visualization, and critical surveys that encompass the vast scope of AI for medical informatics.

The book begins by introducing the fundamental principles and theories of artificial intelligence, including machine learning, natural language processing, and computer vision. It then delves into the diverse range of medical applications where AI has shown tremendous promise, such as image analysis, medical imaging, drug discovery, and patient monitoring. Each chapter offers a comprehensive review of the state-of-the-art techniques and methodologies employed in these areas, highlighting their strengths, limitations, and potential future directions.

Furthermore, the book includes detailed case studies and real-world examples that illustrate the practical implications of AI in healthcare. These examples showcase how AI algorithms can assist doctors in making accurate diagnoses, predicting disease outcomes, and developing personalized treatment plans. The book also addresses the ethical and societal considerations surrounding the use of AI in medicine, emphasizing the importance of transparency, privacy, and responsible implementation.

In addition to its technical content, the book offers valuable insights into the future of AI in medical informatics. It discusses emerging trends, such as the integration of AI with wearable devices, the development of autonomous medical systems, and the potential for AI to revolutionize healthcare delivery. The book concludes by providing a roadmap for researchers, practitioners, and policymakers interested in advancing the field of AI for medical informatics.

Overall, this book serves as a valuable resource for anyone seeking to gain a deeper understanding of the latest developments and applications of artificial intelligence in medical diagnosis. It provides a comprehensive and up-to-date perspective on the field, equipping readers with the knowledge and tools necessary to shape the future of healthcare through the intelligent use of AI.

Introduction:
Artificial intelligence (AI) has emerged as a transformative technology with the potential to revolutionize various fields, including healthcare. In the realm of medical diagnosis, AI has shown remarkable promise in improving accuracy, efficiency, and patient outcomes. This comprehensive book delves into the latest developments and achievements in AI and related technologies, with a strong emphasis on their applications in medical diagnosis.

Theoretical Foundations:
The book begins by introducing the fundamental principles and theories of AI, including machine learning, natural language processing, and computer vision. It provides a comprehensive overview of these technologies, their applications, and their limitations. The authors discuss the various algorithms and techniques used in AI, such as supervised learning, unsupervised learning, and deep learning, and how they can be applied to medical imaging, drug discovery, and patient monitoring.

Applications in Medical Diagnosis:
The book then explores the diverse range of medical applications where AI has shown tremendous promise. It covers image analysis, medical imaging, drug discovery, and patient monitoring. Each chapter provides a comprehensive review of the state-of-the-art techniques and methodologies employed in these areas, highlighting their strengths, limitations, and potential future directions.

Case Studies and Real-World Examples:
To illustrate the practical implications of AI in healthcare, the book includes detailed case studies and real-world examples. These examples showcase how AI algorithms can assist doctors in making accurate diagnoses, predicting disease outcomes, and developing personalized treatment plans. The authors discuss the challenges and limitations associated with AI-based diagnosis, such as data quality, bias, and interpretability, and how they can be addressed.

Ethical and Societal Considerations:
The use of AI in medicine raises ethical and societal considerations that must be addressed. The book discusses the importance of transparency, privacy, and responsible implementation of AI algorithms. It emphasizes the need for ethical guidelines and regulations to ensure that the use of AI in healthcare benefits patients and society as a whole.

Future of AI in Medical Diagnosis:
The book concludes by providing a roadmap for researchers, practitioners, and policymakers interested in advancing the field of AI for medical informatics. It discusses emerging trends, such as the integration of AI with wearable devices, the development of autonomous medical systems, and the potential for AI to revolutionize healthcare delivery. The authors offer insights into the challenges and opportunities that lie ahead in this rapidly evolving field.

Conclusion:
In conclusion, this comprehensive book delves into the latest advancements and remarkable achievements in the realm of artificial intelligence and its interconnected technologies, with a strong emphasis on their applications in medical diagnosis. It provides a valuable resource for researchers, practitioners, and policymakers interested in advancing the field of AI for medical informatics. By exploring the theoretical foundations, practical applications, and ethical considerations, this book contributes to the understanding and development of AI-based solutions that can improve healthcare outcomes and enhance patient care.

Weight: 415g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030911058
Edition number: 1st ed. 2022