Review of fundamentals of Artificial Intelligence and application with medical data in healthcare

Abstract

Artificial Intelligence (AI) can identify substantial interactions by considering the datasets in the emerging era of technologies. It is widely applied in various applications, and healthcare is among them. AI plays a vital role in clinical applications in predicting the disease type, treating the disease, managing chronic situations, and diagnosing the same. AI in the healthcare environment has simplified the lives of doctors, patients, and administrators at hospitals by operating various tasks with lesser computation time and accurate results. The unique challenges such as availability, accessibility, and affordability of AI have contributed to healthcare applications' success. Another factor that enhances the functionality of AI is based on the sourced medical data, which is analyzed, and a model is built to predict the disease by the application of Machine Learning (ML). The other reason for the successful application of AI in the healthcare environment is Computational Intelligence (CI), which is an analysis, design, theory, and development of linguistically and biologically motivated computational techniques. The functionality of CI is identified on the three pillars such as Fuzzy Systems, Neural Networks, and Evolutionary Computation. This research work mainly discusses the various applications of AI in the current healthcare environment. The discussion also includes the different branches of AI with their applications and working principles.

Artificial Intelligence and Medical Data