In general, papers on artificial intelligence tend to focus on the application of this technology from the perspective of healthcare delivery, such as diagnostic support systems and the work of healthcare teams. This paper, however, includes patients in its analysis, making it especially compelling to read in today’s context, where patient-centered care and patient safety are central pillars of healthcare models.

The authors delve into ethical, legal, and operational challenges, highlighting issues like potential biases, risks to patient autonomy, and concerns over data security. Moreover, the study emphasizes the dual nature of AI in healthcare: its potential to transform medical practices while simultaneously posing significant challenges in ensuring equitable and safe use. It also points out areas that demand strict oversight, such as transparency in decision-making and reducing the risk of medical errors.