Gustavo Monnerat, Deputy Editor at The Lancet, shared a post on LinkedIn:
“AI in Medical Training: Learning Tool or Shortcut?
A new Nature Medicine Perspective raises a cautious but important concern: ‘never-skilling’ in medical education. The idea is distinct from deskilling, that may happens when experienced clinicians lose skills they already developed. Never-skilling would happen earlier: during formative training, when learners may fail to build foundational clinical reasoning.
- AI is not i harmful to learning, however its effect depends on how and when it is introduced.
- Answer-delivery AI may carry different risks from learning-mode AI.
A system that gives diagnoses directly may bypass cognitive effort, while a system that asks Socratic questions and gives feedback may support reasoning.
- Assessment needs to change, as trainees are learning in AI-rich environments.
Caveats: direct causal evidence in clinical trainees is still lacking. This is a risk model and research agenda, not a proven phenomenon.
How do we leverage AI as a learning accelerator without turning it into a shortcut around the skills physicians still need to master?
Ref: Ke et al Nan Liu, PhD, FAMIA . AI-induced never-skilling in medical education. Nature Medicine, 2026.”
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