What happens when medical students rely on AI – and never develop their own judgment? | Simar Bajaj and Joseph Sakran
AI’s danger isn’t just in experts losing the ability to reason. It’s that trainees may never learn how to do so in the first placeIn healthcare, there’s growing concern over doctors becoming less clinically adept as they increasingly rely on AI tools.
Reported by 1 outlet — The Guardian US. See all sources ↓
AI’s danger isn’t just in experts losing the ability to reason. It’s that trainees may never learn how to do so in the first placeIn healthcare, there’s growing concern over doctors becoming less clinically adept as they increasingly rely on AI tools. But what about the trainees – medical students, residents and fellows – who are using these tools before they’ve built their own clinical judgment? The idea of deskilling implies that someone possessed an ability and then lost it.
Read the full report at The Guardian US ↗
Why it matters
A world story we're tracking; its significance and source trust firm up as more outlets confirm it.
- What's the story?
- AI’s danger isn’t just in experts losing the ability to reason. It’s that trainees may never learn how to do so in the first placeIn healthcare, there’s growing concern over doctors becoming less clinically adept as they increasingly rely on AI tools.
- How widely is it covered?
- 1 outlet, average source rating 8.0/10.
- When was it last updated?
- 3m ago.
How outlets are framing the same story
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- Coverage card1 outlet1CoverageScouting report
What happens when medical students rely on AI – and never develop their own judgment? | Simar Bajaj and Joseph Sakran
Sources1TypeCoverageThe Guardian US