Publisher's Synopsis
Artificial Intelligence (AI) has the potential to be a very effective tool in the systematic diagnosis of any number of medical and clinical maladies and diseases. The advancements of AI are changing the landscape of the healthcare system, enabling automated and accurate disease diagnosis and patient tracking, which are improving patient outcomes. AI algorithms are data driven and require a large and diverse type of real-world patient datasets in order to derive at clinical solutions. Thanks to Artificial Intelligence, the acquisition of multimodal data from diverse sensors has now become more feasible.This book in turn, will be a comprehensive guide and package that will provide the medical research community with all of the information needed to analyse and study physiological signals, based on the health state and motor imagery task under consideration, through the lens of artificial intelligence.
Key Features:
- Review of current trends in physiological healthcare analytics for disease diagnostics
- Analysis of healthcare and major clinical applications utilizing state-of-the-art AI techniques
- Application of advanced and adaptive signal analysis
- Incorporation of AI and transfer learning applications
- Several of the chapter authors are highly cited researchers in their respective fields
- Chapter summaries, chapter objectives and outcomes, worked examples and multimedia to be determined are included within the body of the text
- Extensive references will be included at the end of each chapter to enhance further study
