The implementation of AI-enabled solutions, either in synergy with human users or as a standalone tool, have exhibited wide performance variability in different clinical contexts and scenarios [1,2]. This highlights the importance of careful planning for the integration of AI in clinical workflows, of continued post-market surveillance, and of simultaneously investing on AI literacy building within healthcare organizations [3,4]. Different challenges exist when implementing AI solutions in clini…