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.
