AI-based diagnosis techniques for cardiac disease analysis and predictions

ABSTRACT

Artificial intelligence (AI) has developed speedily since the late 1980s. Enhancement of medical datasets and outcomes in the last twenty years has resulted in unprecedented improvement in AI-based journals. In addition, with the introduction of unparalleled computational efficiency, the accessibility of AI tools has improved. There are two fundamental tools in AI. The first is machine learning (ML), where organized information like electrophysiology (EP), images, and genetic information are broken down and examined. The second is natural language processing (NLP), where unorganized information is scrutinized. These two AI tools have enhanced strategies, calculations, and applications. Different endeavors and new techniques of AI have been utilized for ailments like cardiovascular disease (CVD), neural disorders, and cancer, among others. Presently, a sophisticated deep learning (DL) technique has instigated exceptional growth of AI in clinical imaging diagnostic frameworks. Thus, this chapter presents pivotal and specialized information about AI-based techniques for predicting, diagnosing, and analyzing cardiac diseases. © 2021 Elsevier Inc. All rights reserved.