01/21/2026
While the promise of AI is undeniable, this article serves as a powerful reminder that progress without intention carries risk, particularly for those who are still developing their clinical reasoning and professional identity.
What stood out most is the warning about over-reliance: automation bias, cognitive offloading, and de-skilling — especially among novice learners. When AI outputs replace the work of reasoning, synthesis, and navigating uncertainty, we risk producing clinicians who are efficient but not necessarily discerning.
In healthcare, discernment matters.
As leaders and educators, this is not a call to lead differently while embracing technology wisely. We must design learning environments that teach learners how to think with AI, not instead of thinking. That means cultivating self-awareness, critical appraisal, trust calibration, and ethical judgment alongside data literacy. It means assessing process, and remembering that no algorithm can replace human accountability, empathy, and professional responsibility.
AI will undoubtedly shape the future of medicine. The question is whether we will shape how it does so.
Leadership in this moment requires humility, foresight, and emotional intelligence. If we get this right, AI can augment learning without eroding essential foundations of good medicine.
http://press.psprings.co.uk/ebm/november/bmjebm114339.pdf