Application of Artificial Intelligence and Soft Computing in Medical Diagnosis

One of the fastest growing sectors in the medical devices industry is medical robotics, and within the realm of medical robotics it is robotic surgery that is spurring public interest, as well as concern. By drawing on the extant body of literature, this paper explores the emergent role of robots in surgery and examines their merits and drawbacks in traditional settings as well as in extreme environments where surgeons must work remotely. The subject of artificial intelligence (AI) and autonomous surgical robots will also be discussed. Although it is difficult to predict with precision to what extent surgical robots will be used in the next 20 years, certain possibilities are more probable than others.

In this paper, the authors focus on artificial intelligence as a tangible technology that is designed to sense, comprehend, act, and learn. There are two manifestations of AI in the medical service: an algorithm that analyzes and interprets the test result and a virtual assistant that communicates the result to the patient. The aim of this paper is to consider how AI can substitute a doctor in measuring human health and how the interaction with virtual assistant impacts one’s visual attention processes. Theoretically, the article refers to the following research strands: human-computer interaction, technology in services, implementation of AI in the medical sector, and behavioral economy. By conducting an eye-tracking experimental study, it is demonstrated that the perception of medical diagnosis does not differ across experimental groups (human vs. AI).