The book explores the applications of artificial intelligence in healthcare systems, with a focus on its use in diagnosis, treatment, and prevention. It provides an overview of the current state of artificial intelligence in healthcare and discusses the challenges and opportunities of implementing intelligent healthcare systems. The text covers topics such as assistive technology for remote patient monitoring, and applications of explainable artificial intelligence in healthcare. This book:Covers a comprehensive overview of the current applications of artificial intelligence in healthcare, including diagnostic imaging, drug discovery, patient monitoring, and personalized medicine. Discusses data management techniques for healthcare, classification techniques for diagnosis, and risk assessment. Presents clustering techniques for patient stratification and dimensionality reduction techniques for feature selection. Explains neural networks for healthcare predictions and convolutional neural networks for medical imaging analysis. Illustrates big data analytics, management, and data security aspects in biomedical applications. It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, computer engineering, and biomedical engineering.
