Trends of Artificial Intelligence and Big Data for E-Health

This book aims to present evidence of the crucial importance of artificial intelligence and big data for medical decision making and data analysis in different fields of E-Health such as radiology, cancer prevention, drugs discovery, COVID-19 detection, AI and blockchain, cardiac imaging, cybersecurity, etc. Big data analytics and artificial intelligence have the potential to lead the methodology of healthcare providers using sophisticated technologies for accurate analysis of clinical data repositories and assist in making informed decisions, while ensuring confidentiality and data security. The challenges of intelligent Health depend basically on the opportunities provided by the community of experts to make health systems more sustainable. In intelligent healthcare, Big Data is based on massive data collected routinely or automatically, and stored electronically. The re-usability of this data could include links between existing databases to improve the performance and efficiency of the health system.Big data and artificial intelligence data will produce significant and accurate results to support medical decision making. The process would benefit from patient's data and their clinical history to support the experts in providing a more personalized medical overview. The intelligent health approach has the potential to allow a close surveillance of the patient's progress during therapy.