IMPACTO DA INTELIGÊNCIA ARTIFICIAL NA DETECÇÃO PRECOCE DE DOENÇAS CARDIOVASCULARES: UM ESTUDO DE REVISÃO INTEGRATIVA

Introduction: Artificial intelligence (AI) has emerged as a transformative tool in medicine, with significant applications in the cardiovascular field, especially in the early detection of cardiovascular diseases (CVDs). Its ability to process large volumes of clinical data through technologies such as machine learning (ML) and deep neural networks (DL) has provided faster, more accurate, and personalized diagnoses. Objectives: To analyze how AI contributes to the early detection of CVDs and, as specific objectives, to identify the main algorithms used, describe the benefits for patients and health professionals, and discuss the ethical and technical challenges associated with their implementation. Justification: The research highlights the social importance of reducing mortality associated with CVDs, the academic relevance of consolidating knowledge about AI in cardiology, and the scientific impact of exploring new diagnostic approaches to improve health care. Methodology: An integrative literature review was carried out, covering articles published between 2018 and 2023, in databases such as PubMed, Scopus, and Embase. Inclusion criteria prioritized peer-reviewed studies that discussed the application of AI in the diagnosis and management of CVDs. Results and discussion: The results showed that AI improves diagnostic accuracy, reduces response time, and enables personalized prognoses. However, challenges such as data privacy, algorithmic bias, and acceptance by professionals were identified as barriers to its implementation. Conclusion: AI is a promising tool in cardiovascular clinical practice, but its consolidation depends on strategies that address ethical and technical limitations and promote adequate training of health professionals.