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This book covers the fundamentals, applications, algorithms, protocols, emerging trends, problems, and research findings in the field of Artificial Intelligence (AI) and 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 Internet of Healthcare Things, provide working examples on how different types of healthcare data can be used to develop models and predict diseases using Machine Learning and AI, with the 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 collection, transmission, and storage of patients’ physiological information. The remote patient monitoring can be performed via wearable sensors. These 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 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. Artifcial Intelligence (AI), which is being propelled forward by exponential advances in computer processing and the digitalization of things, has the potential to provide unimaginable benefts 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 Internet of Healthcare Things can assist doctors in almost every area of their profciencies such as clinical decision-making using the data generated by the health worker/professionals and the patient feedbacks.
This book covers the fundamental ideas, applications, algorithms, protocols, emerging trends, problems, and research fndings in the feld 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 overall quality of life
Introduces fundamental concepts for designing the Internet of Healthcare Things solutions
Includes pertinent case studies and applications