Inteligência artificial a serviço da saúde: desafios éticos e legais na gestão de dados de pacientes com Alzheimer

Objective: to understand how artificial intelligence can help in the early diagnosis and monitoring of Alzheimer's disease, considering the ethical challenges related to data privacy in the health area. Methodology: integrative literature review. A structured search was carried out in the electronic data sources PubMed, LILACS, The Lancet, MDPI and SciELO and original or non-original scientific articles were selected, without language restriction and with a five-year time limitation. Results: it was observed that the interface between artificial intelligence and health emerges as a promising field, especially for the management of complex diseases such as Alzheimer's. Artificial intelligence offers the possibility of more accurate diagnoses, personalized treatments and a better quality of life for patients. However, the potential of artificial intelligence is accompanied by complex ethical and legal dilemmas, especially regarding the collection, storage, privacy, informed consent, algorithmic discrimination, liability and use of health data. Conclusion: the implementation of artificial intelligence systems in healthcare requires a balance between the benefits of potential early diagnosis and the need for greater protection of patient privacy. An additional challenge to be considered is the need for impartiality and transparency in the algorithms used. There is a need to propose guidelines for the development of artificial intelligence systems that are safe, fair and transparent, that respect patients' rights and promote equity in access to healthcare. Submitted: 03/04/25| Revision: 08/11/25| Approved: 08/12/25