aceThe Differential That Never Gets Generated
Residents increasingly ask large language models to name a lesion before diagnosing it themselves. The practice contributes a specific harm: never-skilling, a phenomenon in which reasoning is never acquired, and is distinct from 'deskilling' or 'model error'. Forming a differential first is necessary but insufficient. Departments should require documented differentials, supervise disagreement, and examine unassisted reasoning.
When dermatology residents ask a large language model to name a lesion before forming their own differential, they risk never acquiring diagnostic reasoning, which the article calls never-skilling.
The article says that forming a differential first is necessary but insufficient, so having residents reason before consulting the model does not by itself prevent the harm.
Evidence
- Peer-reviewedInternational Journal of Dermatology2026-10-21
How should this claim be treated?
Truvace Impact Record TRV-2026-2221, v1: “The Differential That Never Gets Generated.” Truvace, 2026-10-23. /record/TRV-2026-2221 (accessed at citation time). sha256 88ac0921710c91bf…
Calibration history
Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-2221 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.