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.

Research opportunities this claim motivates

What this claim leaves open for research. Each is a hypothesis about a gap, not a finding.

Do experienced clinicians lose unaided skill after routine AI use?Experienced endoscopists' detection in non-AI colonoscopies fell from 28.4% to 22.4% after AI was introduced, in an observational before-and-after study whose authors list cohort differences and a near doubling of volume among its limitations.

Provenance and status

Claim type: ESTIMATE (as printed: “ESTIMATE”)
Publication status: ELIGIBLE (STRONG_SCOPE) (as printed: “ELIGIBLE WITH STRONG SCOPE QUALIFIER”)
Verification state: CONTENT_VERIFIED_PRIMARY (as printed: “CONTENT VERIFIED”; verified by: UNKNOWN)
Does not license: Causal deskilling; claims about generative AI; claims about trainees
Source (field 6, as printed): 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 (field 7): PEER_REVIEWED_JOURNAL_ARTICLE (as printed: “Peer-reviewed journal article”)
Institutional position: Independent academic
Maturity (claim evidence / publication maturity): CONTESTED (as printed: “CONTESTED”)
Recorded date: 2026-10-14
Currentness / correction: This is the current version. No correction or concern relation is recorded on its Sources.

Version

Current version v1.0, resolved through the explicit current pointer CLAIM--LD04-SL-C14.

Versions:v1.0 · current

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” → 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)

All 25 canonical Claim fields (raw values and normalized values)

#	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)

Cited by Living Debate versions

LD-04 v0.1

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; fixture fixtures/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".