
Fostering Healthcare through Artificial Intelligence
A High-Performance Computing Approach
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Fostering Healthcare through Artificial Intelligence
A High-Performance Computing Approach
About this book
In this book, readers can explore the transformative power of artificial intelligence (AI) in reshaping modern healthcare. The book dives deep into how cutting- edge technologies are revolutionizing diagnostics, patient care, and medical research. From the predictive analytics that anticipate disease outbreaks to intelligent systems that enhance clinical decisionmaking, this book reveals how AI technologies are playing a transformative role in healthcare domain. Designed for healthcare professionals and AI enthusiasts, this book presents real- world applications, ethical considerations, and visionary insights from researchers and industry. The book provides readers a comprehensive understanding of AI's potential to drive meaningful change.
This book:
- Covers high-performance computing field programmable gate array networks for machine learning-based biomedical applications
- Presents machine learning algorithms for cancer susceptibility, recurrence, and survival prediction
- Discusses the use of high-performance computing (HPC) in the execution of low-power processors for healthcare devices
- Demonstrates detailed performance analysis of wearable healthcare devices
- Highlights the use of Pix2pix generative adversarial networks for mammographically occult breast cancer detection
Whether you're navigating the complexities of digital health transformation or simply curious about AI's role in medicine, Fostering Healthcare through Artificial Intelligence is your essential guide to understanding how technology can foster a healthier, smarter future for all.
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Information
Table of contents
- Cover
- Half-Title Page
- Title Page
- Copyright Page
- Table of Contents
- Preface
- Acknowledgments
- About the authors
- Chapter 1 Introduction to AI and high-performance computing in the healthcare domain
- Chapter 2 Introduction to ML algorithms for biomedical applications
- Chapter 3 Biomedical signal and image processing using machine learning
- Chapter 4 Machine learning algorithms for cancer susceptibility, recurrence, and survival prediction: Viability, challenges, and survey on the state-of-the-art
- Chapter 5 AI technologies for diagnosis, prognosis, and survival of neurological, cardiovascular, and infectious diseases: State-of-the-art analysis
- Chapter 6 Case studies
- Chapter 7 Application of machine learning to gynecological cancers
- Chapter 8 Wearable healthcare devices
- Chapter 9 High-performance computing systems for healthcare
- Chapter 10 Quantum computing in medical informatics: Unlocking revolutionary potential
- Index