LEGAL ARCHITECTURE OF THE RELATIONSHIP BETWEEN ARTIFICIAL INTELLIGENCE AND THE PROTECTION OF PATIENTS’ RIGHTS IN MEDICAL DIAGNOSTICS

Abstract

The study of the legal architecture of the relationship between artificial intelligence and patient protection in medical diagnostics includes a brief overview of the current state of application of artificial intelligence in diagnostic medicine and an analysis of its potential benefits and risks. This article reviews the current regulations governing the use of artificial intelligence in medical diagnostics, including laws, guidelines and best practices, as well as the role of health care regulators and personal data protection. Special attention is paid to the ethical aspects of using artificial intelligence in diagnostics, such as: ensuring patient privacy, protecting medical data, preventing algorithmic bias, and ensuring transparency in the diagnostic decision-making process. Specific examples of implementation of artificial intelligence in diagnostic practice are presented, illustrating both opportunities and challenges associated with this technology, including analysis of successful and unsuccessful cases of implementation. The study describes promising developments in the field of AI diagnostics, including new technologies and trends, and forecasts the evolution of the legal framework in response to these innovations. Finally, it summarizes the results of the study and presents recommendations for improving the legal regulation of artificial intelligence in medical diagnostics, taking into account the need to protect the rights and interests of patients.