Soufene B.O., Chakraborty C., Almalki F.A. Practical Artificial Intelligence for Internet of Medical Things: Emerging Trends, Issues, and Challenges

Boca Raton: CRC Press, 2023. — 346 p.This book covers the fundamentals, applications, algorithms, protocols, emerging trends, problems, and research findings in the field of Artificial Intelligence (AI) and the Internet of things (IoT) in smart healthcare. It includes case studies, implementation, and management of smart healthcare systems using AI. Chapters focus on AI applications in the Internet of Healthcare Things and provide working examples of how different types of healthcare data can be used to develop models and predict diseases using Machine Learning and AI, with real-world examples. This book is aimed at Researchers and graduate students in Computer Engineering, Artificial Intelligence and Machine Learning, Biomedical Engineering, and Bioinformatics.The Internet of Things (IoT) is one of the most prominent technologies that emerged in recent years. The integration of IoT in the healthcare sector is giving rise to a new paradigm called the Internet of Medical Things (IoMT). IoMT enables the collection, transmission, and storage of patient’s physiological information. Remote patient monitoring can be performed via wearable sensors. This collected information can be stored, processed, and made available to doctors to give a consultation at any time and from any devices connected to the Internet.In IoMT, the structure of data is important for accurate predictive analytics due to the heterogeneity of data such as ECG data, X-ray data, and image data. So, the Internet of Medical Things requires new methods and technologies to evaluate information objectively. Artificial Intelligence (AI), which is being propelled forward by exponential advances in computer processing and the digitalization of things, has the potential to provide unimaginable benefits to the healthcare industry.Thus, the integration of AI into IoT healthcare systems creates tremendous opportunities for new research and necessitates interdisciplinary efforts to address these challenges. AI combined with the Internet of Healthcare Things can assist doctors in almost every area of their proficiencies such as clinical decision-making using the data generated by the health worker/professionals and the patient feedback.This book covers the fundamental ideas, applications, algorithms, protocols, emerging trends, problems, and research findings in the field of AI and IoT in smart healthcare.Features:Focus on the Internet of Healthcare Things and innovative solutions developed for use in the application of healthcare services.
Discusses Artificial Intelligence applications, experiments, core concepts, and cutting-edge themes.
Demonstrates new approaches to analyzing medical data and identifying ailments using AI to improve the overall quality of life.
Introduces fundamental concepts for designing the Internet of Healthcare Things solutions.
Includes pertinent case studies and applications.