ENFERMAGEM E TECNOLOGIA: DESAFIOS NA APLICAÇÃO DA INTELIGÊNCIA ARTIFICIAL

The application of Artificial Intelligence (AI) in Nursing has emerged as an innovative tool with significant potential to transform practice and enhance patient care. AI can increase process efficiency, improve diagnostic accuracy, reduce errors, and alleviate the workload of healthcare professionals. Additionally, it can support clinical decisionmaking, automate administrative tasks, and improve patient safety. However, its implementation in Brazil faces significant challenges, including ethical issues and technological barriers. Among the main challenges, the lack of training for nursing professionals, resistance to adopting technology, and concerns about the dehumanization of care are prominent, as nursing is inherently an empathetic profession. The protection of sensitive data is also a central concern, in a context where privacy and algorithm transparency are fundamental. The implementation of AI also raises ethical and legal questions, such as responsibility in the case of diagnostic failures or misuse of the technology. Another significant obstacle is the scarcity of proper training, as well as the risk of excluding professionals due to unequal access to technology. Despite these challenges, AI offers opportunities to improve accuracy in care and optimize resource management. Studies indicate that continuous education and the creation of public policies integrating AI into nursing training are essential to overcoming these barriers. This study aims to analyze scientific evidence regarding the challenges and opportunities of AI in nursing, proposing strategies for its effective and safe adoption.