ARTIFICIAL INTELLIGENCE IN MEDICINE: Predicting Chronic Diseases Using Deep Learning

Today, artificial intelligence represents a revolutionary approach that is radically transforming the field of medicine in terms of early and assisted diagnosis, as well as clinical decision-making. This book offers a comprehensive guide to the fundamental principles of artificial intelligence, machine learning, and deep learning, followed by an analysis of the practical applications of these techniques in predicting four chronic diseases: cardiovascular disease, breast cancer, type 2 diabetes, and Alzheimer's disease. A comparative pilot study is presented, conducted using major biomedical databases. We analyzed the effectiveness of deep learning architectures, as well as that of traditional machine learning algorithms. In addition, this book addresses various challenges related to model validation, their implementation in embedded medical systems, and the ethics of using artificial intelligence. It is primarily intended for undergraduate and graduate students, researchers, engineers, and healthcare professionals.