Mapping

“It is interesting to note that there is so much evidence regarding the intervention of these digital systems in medical education that it is practically impossible for the human mind to summarize. It is stated that to ensure the success of AI in medical education, it is crucial to foster interdisciplinary collaboration and increase investment in education and training.”

Just published: A scoping review mapping the integration of AI in undergraduate medical education (April 2025)

A new review (34 studies analyzed) highlights the global patchiness in how AI is brought into med school curricula. While AI tools like intelligent tutoring systems, chatbots, and VR simulations are gaining ground, there’s no unified framework yet. Key takeaways:

1. AI is best introduced as a supportive tool—enhancing ethics, digital competency, and collaboration—not merely a standalone subject.
2. Teaching must go beyond technical know-how: it needs to embrace ethical reasoning, patient‑centered care, and systems thinking. (See Deborah Lupton’s book on Digital Health for more in this area)
3. Institutional hurdles persist: from lack of faculty training to resource gaps.
4. There’s a critical need for adaptable, globally informed curricula.

We need standardized yet flexible frameworks to train tomorrow’s physicians to use AI responsibly and effectively. Let’s foster interdisciplinary collaboration (ethics + data science + clinical practice) and expand institutional support for curricular reform.

Read more on “Mapping the use of artificial intelligence in medical education: a scoping review”: https://bmcmededuc.biomedcentral.com/articles/10.1186/s12909-025-07089-8