What happens when medical students rely on AI – and never develop their own judgment? | Simar Bajaj and Joseph Sakran
It’s that trainees may never learn how to do so in the first placeMon 10 Aug 2026 08.00 EDTLast modified on Mon 10 Aug 2026 08.06 EDTShareIn 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.
- ▪It’s that trainees may never learn how to do so in the first placeMon 10 Aug 2026 08.00 EDTLast modified on Mon 10 Aug 2026 08.06 EDTShareIn healthcare, there’s growing concern over doctors becoming less clinically adept as they increasingl
- ▪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.
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| Original publisher | The Guardian — US |
| Canonical URL | https://www.theguardian.com/commentisfree/2026/aug/10/ai-medical-students-judgment |
| Publication time | Mon, 10 Aug 2026 12:00:44 GMT |
| Retrieval time | 2026-08-10T12:15:42.154Z |
| Last seen | 2026-08-10T12:15:42.154Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | Y6gksjpN54EV · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
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Opening excerpt (first ~120 words) tap to expand
‘Patients will need doctors who can stand apart from the machine long enough to know when it is wrong, incomplete, or right for the wrong reason.’ Photograph: gorodenkoff/Getty Images/iStockphotoView image in fullscreen‘Patients will need doctors who can stand apart from the machine long enough to know when it is wrong, incomplete, or right for the wrong reason.’ Photograph: gorodenkoff/Getty Images/iStockphotoOpinionHealthWhat happens when medical students rely on AI – and never develop their own judgment?Simar Bajaj and Joseph SakranAI’s danger isn’t just in experts losing the ability to reason.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at The Guardian — US.