Desafios do uso da inteligência artificial nos diagnósticos de saúde: uma revisão integrativa

Objective: To understand the role of AI in modern healthcare diagnostics and define boundaries for its application. Methodology: Integrative literature review. Studies were searched in the LILACS, MEDLINE, and SCIELO databases, selecting scientific articles without temporal or language restrictions. Results: Artificial intelligence impacts medicine at three levels: it optimizes image interpretation for physicians, enhances workflow by reducing potential errors for healthcare systems, and empowers patients to process their own data to promote health. However, attention is required regarding the generated data, as it may trigger cascading errors and expose sensitive information of healthcare system users. Conclusion: Assigning AI, the responsibility of choices and functions performed by humans is inherently dangerous, despite its undeniable contribution to diagnostic processes. Robust research is suggested to fully understand the impact of this new technological era provided by AI in healthcare. Submission: 03/18/24| Review: 05/07/24| Approval: 05/09/24