Claim LD04-SL-C14 (v1.0)
In an observational study at four Polish centres, experienced endoscopists’ adenoma detection in colonoscopies done without AI fell from 28.4% to 22.4% in the three months after an AI detection system was introduced; the study is observational, and its authors list differences between the cohorts and a near doubling of colonoscopy volume after AI was introduced among its limitations.
Provenance and status
- Claim type
- Estimate
- Publication status
- Eligible for publication, with qualifiers: strong scope
- Verification state
- Checked against the primary source. Who checked this claim is not recorded for it; claim checks so far were AI-led, and no person has checked claims against their sources.
- Does not license
- Causal deskilling; claims about generative AI; claims about trainees
- Limitations
- Observational; cohorts may differ; no blinding or withdrawal-time data; post-AI volume nearly doubled after Poland suspended screening; regression to the mean possible in high-baseline centres; read from the authors’ accepted manuscript, which may differ from the published version
- Source (as cited)
- Budzyń et al., “Endoscopist deskilling risk after exposure to artificial intelligence in colonoscopy: a multicentre, observational study,” Lancet Gastroenterology & Hepatology 10(10), 2025
- Source type
- Peer-reviewed journal article (recorded as “Peer-reviewed journal article”)
- Institutional position
- Independent academic
- Maturity of the evidence
- Contested evidence
- Recorded date
- 14 October 2026
- Currentness / correction
- This is the current version. No correction or concern is recorded on its sources.
Sources this version cites
Version
This page shows version v1.0. Its record never changes, even when newer evidence arrives; the site may add a note to the page or withhold a figure not cleared for public use.
This pinned version is also the current version.
Raw record: every recorded field, with its coded values
All 25 canonical Claim fields, verbatim, with the coded values derived from them. The plain-language labels above are read from these.
- Claim type (coded)
- ESTIMATE (as printed: “ESTIMATE”)
- Publication status (coded)
- ELIGIBLE (STRONG_SCOPE) (as printed: “ELIGIBLE WITH STRONG SCOPE QUALIFIER”)
- Verification state (coded)
- CONTENT_VERIFIED_PRIMARY
- Source type (coded)
- PEER_REVIEWED_JOURNAL_ARTICLE
- Maturity (coded)
- CONTESTED
| # | Canonical field | Canonical value (verbatim) | Normalized (Claim Value Vocabulary v1.0.2) |
|---|---|---|---|
| 1 | CLAIM ID | LD04-SL-C14 | — |
| 2 | PUBLIC-FACING CLAIM | In an observational study at four Polish centres, experienced endoscopists’ adenoma detection in colonoscopies done without AI fell from 28.4% to 22.4% in the three months after an AI detection system was introduced; the study is observational, and its authors list differences between the cohorts and a near doubling of colonoscopy volume after AI was introduced among its limitations. | — |
| 3 | CLAIM TYPE | ESTIMATE | base_types: ESTIMATE |
| 4 | RESEARCH STRAND | B — Skill after the tool is removed | — |
| 5 | MATURITY | CONTESTED | states: CONTESTED |
| 6 | SOURCE | Budzyń et al., “Endoscopist deskilling risk after exposure to artificial intelligence in colonoscopy: a multicentre, observational study,” Lancet Gastroenterology & Hepatology 10(10), 2025 | source_ids: SRC-SL-BUDZYN-ET-AL-LANCET-GH-2025 |
| 7 | SOURCE TYPE | Peer-reviewed journal article | classes: PEER_REVIEWED_JOURNAL_ARTICLE |
| 8 | INSTITUTIONAL POSITION | Independent academic | — |
| 9 | SCOPE | Four centres in Poland within the ACCEPT trial; September 2021 to March 2022; diagnostic AI, not generative AI | — |
| 10 | DESIGN | Retrospective before–after comparison of non-AI colonoscopies around AI introduction | — |
| 11 | SAMPLE / DATASET | 795 colonoscopies before and 648 after; 19 endoscopists with over 2,000 colonoscopies each | — |
| 12 | MODEL / TOOL / VERSION | Computer-aided polyp detection system | — |
| 13 | COMPARATOR | Non-AI colonoscopies by the same endoscopists before AI was introduced | — |
| 14 | MAIN RESULT | Adenoma detection rate 28.4% → 22.4% (−6.0 points, 95% CI −10.5 to −1.6); AI exposure odds ratio 0.69 (0.53–0.89) in the main multivariable model; adenomas per colonoscopy, advanced adenomas and cancers did not differ significantly | — |
| 15 | INFERENTIAL TARGET | Whether unaided detection changes after routine AI exposure | — |
| 16 | DOES NOT LICENSE | Causal deskilling; claims about generative AI; claims about trainees | — |
| 17 | VERIFICATION STATE | CONTENT VERIFIED | state: CONTENT_VERIFIED_PRIMARY · verified_by: UNKNOWN |
| 18 | LIMITATIONS | Observational; cohorts may differ; no blinding or withdrawal-time data; post-AI volume nearly doubled after Poland suspended screening; regression to the mean possible in high-baseline centres; read from the authors’ accepted manuscript, which may differ from the published version | — |
| 19 | CONTRADICTORY / SUPPORTING SOURCES | A single-centre Japanese prospective study is reported to find no decline (not read for this debate) | — |
| 20 | GEOGRAPHY / LANGUAGE | Poland / English | — |
| 21 | DISTRIBUTIONAL LEDGER | Most endoscopists fell, four rose; drop larger in high-baseline centres | — |
| 22 | R01 / FIELD-MAP LINKS | LD-04, D3 | — |
| 23 | WHAT WOULD CHANGE THIS CLAIM? | A trial with planned AI-off sessions, or prospective studies that find no decline | — |
| 24 | PUBLICATION STATUS | ELIGIBLE WITH STRONG SCOPE QUALIFIER | state: ELIGIBLE · qualifiers: STRONG_SCOPE |
| 25 | RECORDED DATE | 2026-10-14 | — |
Field 22 references resolved against Field Map v0.2: LD-04 (LIVING_DEBATE); D3 (DOMAIN)
The sources as recorded, with their record IDs and coded source types:
Pinned Sources (field 6, version-specific)
- “Budzyń et al., “Endoscopist deskilling risk after exposure to artificial intelligence in colonoscopy: a multicentre, observational study,” Lancet Gastroenterology & Hepatology 10(10), 2025” → Budzyń et al. (2025), “Endoscopist deskilling risk after…” (SRC-SL-BUDZYN-ET-AL-LANCET-GH-2025--v1.0) — Budzyń et al., “Endoscopist deskilling risk after exposure to artificial intelligence in colonoscopy: a multicentre, observational study,” Lancet Gastroenterology & Hepatology 10(10), 2025; class PEER_REVIEWED_JOURNAL_ARTICLE (explicit public provenance pin)
Cited by Living Debate versions
Cite this page
SocioLens project. (2026, October 14). In an observational study at four Polish centres, experienced endoscopists’ adenoma detection in colonoscopies done without AI fell from 28.4% to 22.4% in the three months after an AI detection system was introduced; the study is observational, and its authors list differences between the cohorts and a near doubling of colonoscopy volume after AI was introduced among its limitations [Claim LD04-SL-C14, version v1.0]. SocioLens. https://sociolens-web.pages.dev/claims/ld04-sl-c14/v1.0/
@misc{sociolens_ld04_sl_c14_v1_0,
author = {{SocioLens project}},
title = {In an observational study at four Polish centres, experienced endoscopists’ adenoma detection in colonoscopies done without AI fell from 28.4\% to 22.4\% in the three months after an AI detection system was introduced; the study is observational, and its authors list differences between the cohorts and a near doubling of colonoscopy volume after AI was introduced among its limitations.},
year = {2026},
date = {2026-10-14},
howpublished = {\url{https://sociolens-web.pages.dev/claims/ld04-sl-c14/v1.0/}},
note = {Claim LD04-SL-C14, version v1.0}
}The link points to this version, whose record never changes. For a finding, cite the original study as well: SocioLens summarizes research and does not replace it.
Research-of-record provenance
Materialized by sociolens-materializer 0.6.0 at 2026-09-28T20:00:00.000Z; normalization contract SocioLens — Claim Value Vocabulary v1.0.2 — Pre-Spike Materialization Contract (v1.0.2). Content seal SHA-256 e616aba770a3ff95c126754c08851568f9f048ee5c0b205daf135251cdb42ef9.
Repository-authored inputs (not Drive exports)
- SocioLens claim — LD04-SL-C14 v1.0 (v1.0) — written in the SocioLens repository by Project Lead (Claude, AI) on 2026-10-14; no Drive identity exists. Authority: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 14 October 2026 to build the LD-04 debate; a new Claim, first version, written from the project's LD-04 source notes, checked against full texts or official abstracts. Block “ENTRY 14 — LD04-SL-C14” SHA-256
182ceddbcc85d70d9dbab46e3fd81a32806865b3eda2a2e94db4537a1784eba7; fixturefixtures/authored/claims/LD04-SL-C14--v1.0.
Builder decisions (not Drive data)
- VERSION = v1.0 — basis: Claim version taken from the repository-authored claim fixture version (SocioLens claim — LD04-SL-C14 v1.0); the first version of a new Claim of the LD-04 debate
- CURRENT_POINTER = true — basis: repository-authored claim "SocioLens claim — LD04-SL-C14 v1.0" (Project Lead (Claude, AI), 2026-10-14); basis: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 14 October 2026 to build the LD-04 debate; a new Claim, first version, written from the project's LD-04 source notes, checked against full texts or official abstracts
- FIELD_6_SOURCE_REFERENCE = SRC-SL-BUDZYN-ET-AL-LANCET-GH-2025--v1.0 — basis: field 6 of ENTRY 14 — LD04-SL-C14 cites "Budzyń et al., “Endoscopist deskilling risk after exposure to artificial intelligence in colonoscopy: a multicentre, observational study,” Lancet Gastroenterology & Hepatology 10(10), 2025"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
- SOURCE_PROVENANCE_PIN = SRC-SL-BUDZYN-ET-AL-LANCET-GH-2025--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Budzyń et al., “Endoscopist deskilling risk after exposure to artificial intelligence in colonoscopy: a multicentre, observational study,” Lancet Gastroenterology & Hepatology 10(10), 2025".