A scoping review examined 39 studies to identify how artificial intelligence is currently used in undergraduate medical education. The study looked at various ways AI helps students learn clinical skills, such as interacting with virtual patients or using robotics for simulation.
The most common uses found were LLM-based virtual patient systems and assessment tools. Other applications included training for technical procedures, clinical documentation, and reasoning support. While these technologies are becoming more common in classrooms, they are currently used to support existing teaching methods rather than replace them.
Because this was a scoping review of current literature, the results show how AI is being implemented today rather than proving its long-term success. Evidence regarding the long-term educational impact on students remains limited. For now, these tools serve as helpful additions to help medical students practice their skills in a controlled environment.
