Ethical monitoring in intelligent health support systems

Abstract

This article aims to propose ethical guidelines and an evaluation model for the use of artificial intelligence
in medical diagnoses. A critical analysis of bioethical and normative literature, based on the principles
of autonomy, beneficence, non-maleficence, and justice was conducted. From this analysis, a hierarchy
of the main ethical challenges involved is developed, ranging from data quality and governance to the
ethical sustainability of the technologies employed. An evaluation model based on objective metrics is
also proposed, aimed at the continuous monitoring of the application of artificial intelligence in clinical
practice. It concludes that the balance between technological innovation and humanization of care is
essential, with medical associations playing a strategic regulatory role in preserving the fundamental
values of medicine.