The Evolution of Artificial Intelligence in Healthcare and Medicine: From Basic Methods to Clinical Practice

· Elsevier
Ebook
330
Pages
Eligible
This book will become available on April 1, 2027. You will not be charged until it is released.

About this ebook

The Evolution of Artificial Intelligence in Healthcare and Medicine: From Basic Methods to Clinical Practice explores revolutionary technological advancements in the medical and healthcare realms due to generative AI and Deep Learning. This comprehensive guide not only explores cutting-edge technologies such as transformers and large language models for newcomers but also demystifies advanced applications like sequential decoding techniques and segmentation algorithms rarely explored in other literature. Sections cover foundational concepts and terminologies, explore deep learning and generative AI, provide AI's role in biomedical research, examine its integration into clinical practice, scrutinize its applications in public health, and discuss challenges and future prospects.This is an indispensable resource for healthcare professionals, scientists, researchers, students, and enthusiasts seeking to deepen their understanding of this rapidly evolving field. - Demonstrates the main opportunities of using AI in clinical practice and biomedical research - Gives insights into the main challenges and risks of using AI in clinical practice and biomedical research - Provides specific requirements for AI systems to be used in biomedical research and clinical practices - Demonstrates legal and ethical aspects of AI systems
The Evolution of Artificial Intelligence in Healthcare and Medicine: From Basic Methods to Clinical Practice explores revolutionary technological advancements in the medical and healthcare realms due to generative AI and Deep Learning. This comprehensive guide not only explores cutting-edge techn...

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About the author

Mario Cannataro is Full Professor of Computer Engineering and Bioinformatics at the University “Magna Graecia of Catanzaro, Italy. He directs the Data Analytics Research Center and chairs the Bioinformatics Laboratory, leading interdisciplinary research at the interface of computing and life sciences. His research interests include bioinformatics, medical informatics, artificial intelligence, data analytics, sentiment analysis, and parallel and distributed computing. Professor Cannataro is actively involved in the international bioinformatics community through editorial, conference, and professional service activities, including participation in scientific committees, workshop organization, and journal editorial boards. He has contributed extensively to research and innovation in computational biology and health informatics and has authored numerous scholarly publications and books. He also serves on regional and national bodies related to bioinformatics, telemedicine, medical informatics, and research ethics, supporting collaboration and advancement across these fields.

Mario Cannataro is Full Professor of Computer Engineering and Bioinformatics at the University “Magna Graecia of Catanzaro, Italy. He directs the Data Analytics Research Center and chairs the Bioinformatics Laboratory, leading interdisciplinary research at the interface of computing and life scie...

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