Impacto da inteligência artificial na melhoria da qualidade de imagem em diagnóstico por imagem

This study aims to analyze the application of Artificial Intelligence (AI) in healthcare, highlighting its main contributions, limitations, and implications for healthcare practice and the organization of health services. This is an integrative literature review with an exploratory and descriptive approach, in which searches were conducted in the SciELO, LILACS, and PubMed databases. Studies were selected according to previously established inclusion criteria, followed by the analysis, synthesis, and organization of the findings in a comparative table. The results showed that AI has been widely applied in diagnostic imaging and in different medical and dental specialties, demonstrating good performance in the identification and classification of clinical findings, as well as contributing to the optimization of workflows and supporting decision-making. However, its performance may vary according to the clinical context, and in certain situations, AI does not outperform conventional methods or achieves better results when used in combination with human assessment. It is concluded that AI represents a promising tool for healthcare, with the potential to improve diagnostic quality and the efficiency of health services. Nevertheless, its application should be carried out carefully, with continuous validation and integration with clinical judgment to ensure safety and effectiveness in healthcare practice.