Artificial intelligence (AI) is a broad term that covers a wide range of methods depending on the intended application. This field is rapidly evolving and has the potential to transform patient care. Due to the nature of its data, nephrology is particularly well-suited to the development of AI models. However, implementation in clinical practice is still limited. In this article, current and potential applications in everyday medical practice are highlighted. Understanding the methodological basis of these models is crucial and should be part of the training of future physicians. In addition, the quality of the data feeding into the models will determine the quality of the tool. Clinicians will therefore play a major role in the critical interpretation of data.
Hubaud et al. (Thu,) studied this question.