Cited by 18Artificial Intelligence in Healthcare and EducationStatistical Methods in Clinical TrialsColorectal Cancer Screening and Detection

Clinical trial designs for artificial intelligence in gastrointestinal endoscopy

Mori, Yuichi, Kaminski, Michal F, Hassan, Cesare, Bretthauer, Michael·2022·The Lancet Gastroenterology & Hepatology

Integrity signals

Registry

Crossref · 10.1016/s2468-1253(22)00232-1

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • A longer-term prospective trial is assessing the link between colonoscopy CADe systems and colorectal cancer incidence and mortality after 10-year follow-up.

    “a longer-term, prospective clinical trial is now seeking to assess the connection between colonoscopy CADe systems and incidence and mortality from colorectal cancer after a 10-year follow-up period (25).”

The citation lists haven’t been fetched yet

References 10 · Cited by 18

Authors
Mori, Y., Kaminski, M. F., Hassan, C., & Bretthauer, M.
Affiliations
  • Oslo University Hospital (NO)
  • University of Oslo (NO)
  • Humanitas University (IT)
Corresponding author
Mori, Yuichi
Venue
The Lancet Gastroenterology & Hepatology
Publisher
Elsevier BV
Published
2022-09
Volume
7
Issue
9
Pages
785-786
ISSN
  • 2468-1156 (ISSN-L)
  • 2468-1253
OpenAlex
W4289687650
Cited by
18
References
10
Citations by year
2026: 2 · 2025: 5 · 2024: 4 · 2023: 7
FWCI
1.20
Type
journal article
Language
en
Open access
closed
Locations
  • The Lancet. Gastroenterology & hepatology (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Horizon 2020 Framework Programme (101057099)
  • European Commission
  • Japan Society for the Promotion of Science (22H03357)
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
  • Health Sciences › Medicine › Oncology › Colorectal Cancer Screening and Detection
Keywords
artificial intelligence, clinical trial design, gastrointestinal endoscopy, colonoscopy, AI-assisted colonoscopy, regulatory approval, randomised trials
MeSH terms
Artificial Intelligence, Clinical Trials as Topic, Humans, Endoscopy, Gastrointestinal

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review