Training in internal medicine in the age of artificial intelligence

Artificial intelligence (AI) is transforming knowledge management in medicine, with a radical impact on training and the acquisition of professional skills. This review aims to guide and optimise the use of AI in the training of internal medicine residents, with an emphasis on the reliability of information, clinical safety, ethical considerations, the clinical process, prompt engineering, the role of simulation, training risks, shared decision-making with patients, the role of tutors, and opportunities for the speciality, all with the central premise that AI complements but does not replace clinical training.