ADVANCEMENT OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN SMART HEALTHCARE SYSTEM

Abstract

One of the ways in which smart healthcare is distinct from traditional medicine is that it makes use of artificial intelligence to move the attention away from professionals and towards patients. This strategy organises medical services in accordance with the needs, experiences, and active engagement of patients. It does this by integrating cutting-edge, intelligent healthcare technology. A smart healthcare system is the final outcome of this process. The discipline of artificial intelligence (AI) is seeing enormous development in the realm of healthcare research, and there are potential applications being presented in a variety of different fields of medicine. AI applications in smart healthcare are essential for detecting and preventing diseases such as COVID-19, liver disease, and cancer. These applications make use of support vector machines (SVMs) as a machine learning technique and convolutional neural networks (CNNs) as a deep learning method. These AI systems analyse electronic health records and data on patients' lives in order to provide assistance to medical professionals in the interpretation of X-rays, MRIs, and CT scans.