Description
Artificial Intelligence in the Healthcare Sector
Book Summary
This collective work presents an exhaustive introduction to artificial intelligence as a fundamental tool for the generation and analysis of healthcare data. The reader will discover how AI is applied in drug design and development, diagnosis, treatment, and imaging tests in oncology, as well as in medical devices, surgery, and remote patient monitoring. The book highlights different data analysis techniques, including machine learning and data mining, and illustrates the challenges in the design, implementation, and management of intelligent systems and health data networks. Each chapter can be read independently, providing specific case studies that facilitate a practical understanding of the subject.
What is it about?
The book comprehensively addresses the application of artificial intelligence in the healthcare sector. It begins by presenting the foundations of AI and its relevance to clinical data analysis, then delves into specific applications. Areas such as drug design and development are explored, where AI accelerates discovery and optimization processes. Its applications in diagnosis and treatment are also analyzed, with special emphasis on oncology and imaging tests. The work is not limited to theory, but includes sections dedicated to medical devices and AI-assisted surgery, as well as remote patient monitoring, an increasingly relevant field. Finally, it raises new technical and ethical challenges in the design, implementation, and management of intelligent systems and health data networks, offering a complete and updated view of the state of the art.
Main Topics
- Machine learning and data mining applied to healthcare data.
- AI applications in drug design and development.
- AI-driven diagnosis, treatment, and imaging tests in oncology.
- Smart medical devices and artificial intelligence-assisted surgery.
- Remote patient monitoring and health data network management.
Who is it recommended for?
This book is aimed at healthcare professionals, researchers, students of medicine, nursing, bioinformatics, and biomedical engineering, as well as anyone interested in understanding how artificial intelligence is transforming the healthcare field. It is especially useful for those seeking a practical, real-case-based view of the current applications and future challenges of AI in health.
What this book offers
- A complete and updated view of AI applications in the health sector, from diagnosis to surgery.
- Case studies and practical examples that facilitate the understanding of complex concepts.
- Analysis of the technical and ethical challenges in the implementation of intelligent systems in clinical settings.
- Modular structure that allows for reading chapters independently according to the reader's interest.
Technical Specifications
- Author: Various Authors
- Publisher: Elsevier
- Language: Spanish
- Topic: Medicine, Public Health, and Preventive Medicine
- Collection: Elsevier
- Binding: Paperback
- Publication date: September 2021
- Number of pages: 384
- Weight: 620 g
Editorial Review
This is a reference work for those who wish to explore the intersection between artificial intelligence and medicine. Its practical approach, featuring case studies and independent chapters, makes it a useful tool for both active professionals and students seeking a solid foundation in the subject. The coverage of areas such as oncology, medical devices, and remote monitoring reflects the latest trends in the sector, making it particularly relevant for readers interested in healthcare innovation.