Fuzzy Rule-Based Systems and Artificial Intelligence in Medical Applications

Abstract

. This article presents a study on technological development, research, and current techniques in artificial intelligence and robotics using rule-based systems focused on medical applications in various medical areas. It analyzes various control techniques, image and signal analysis, and vision control as tools in medical applications by describing knowledge-based systems described by human experts or data that go beyond traditional Boolean logic. These are fundamental in artificial intelligence, especially in complex and high-risk areas such as medicine, for managing uncertainty and modeling expert knowledge. Applications ranging from aspects of preventive, non-invasive, and invasive medicine and healthcare will be reviewed, as well as the methods used in artificial intelligence, such as data analysis models, recognition, monitoring, and medical robotics, which improve the accuracy and safety of procedures. In order to observe the current trend in publications on type-1 and type-2 fuzzy logic controllers used in various medical fields, we have included a summary of the findings from the Medline database.