THE USE OF ARTIFICIAL INTELLIGENCE IN HEALTH: A LITERATURE REVIEW

Abstract

This research aimed to analyze the main challenges and opportunities in the use of artificial intelligence (AI) in the healthcare sector, focusing on the ethical, legal, social implications and benefits of this technology, such as improving diagnoses, personalizing treatments, and increasing access to healthcare. The methodology adopted was a bibliographic research, carried out through the survey of academic articles and studies in databases such as SciELO and Google Scholar. The results indicated that while AI offers great opportunities to transform healthcare, such as optimizing processes and expanding access to medical care, it also presents significant challenges, such as data privacy issues, algorithmic bias, resistance to adoption by professionals, and lack of adequate infrastructure. It is concluded that the effective implementation of AI in health depends on clear regulation, training of professionals, overcoming technological and ethical barriers, and the creation of a robust legal framework, so that the benefits of technology are enjoyed without compromising patients' rights or the quality of care.