The Efficiency of Medical Diagnostic Robots in the Light of Legal Liability

Abstract

Robots in medical diagnostics assist healthcare personnel by boosting precision, speed, and consistency in processing patient data, ultimately supporting early and precise detection of diseases. These robotic devices frequently use AI and machine learning algorithms to interpret complex medical data and improve diagnostic findings. A robot entitled “Dr. HEMA: Horus Expert Medical Assistant” Robot is presented in this paper to assist medical personnel in the diagnosis of chronic diseases with an accuracy of 98.8% and an accuracy of 85% in predicting the severity of chronic diseases. Given the increasing use of artificial intelligence systems, especially smart robots, in various fields, there are concerns about the potential harm they may cause to others. Therefore, it is essential to address these issues to understand the extent to which civil liability is established for damages caused by smart robots and, consequently, the compensation for these damages. The regulations for protecting sensitive medical personal data in the context of a newly established right to health must be taken into consideration. To establish a legal basis for liability for damages caused by intelligent robots, it has been proposed to grant them legal personality. However, this proposal has not been universally agreed upon, as opinions differ regarding the granting of legal personality to intelligent robots. Some support the idea, while others oppose it. Throughout this paper, HEMA's diagnostic ability is traced within the frame of legal liability.

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