Trial reportDigestive diseases and sciences2025
Prospective Video-Based Study Assessing Effect of Computer-Assisted Optical Diagnosis on Distinguishing Serrated, Hyperplastic, and Adenomatous Colorectal Polyps.
Trial report in Digestive diseases and sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Comparing artificial intelligence and healthcare professional performance in surgical and interventional video analysis: a systematic review and meta-analysis.NPJ digital medicine · 2026Article
- Diagnostic performance of real-time characterization in artificial intelligence-assisted colonoscopy.Endoscopy international open · 2026Article
- Evaluating New Non-invasive Screening Tests for Colorectal Cancer: An In-Depth International Perspective-Introduction to a Special Issue of Digestive Diseases and Sciences.Digestive diseases and sciences · 2025Article
- Diagnostic performance and agreement of auditors for evaluation of computer-aided optical polyp diagnosis: Prospective study.Endoscopy international open · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
22 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
aimThe current computer-aided diagnosis (CADx) systems are not trained to recognize sessile-serrated lesions (SSL) and currently classify SSL incorrectly either as hyperplastic or adenomatous. We aimed to assess the effect of current untrained CADx systems on diagnostic accuracy of SSL recognition among a diverse group of endoscopists.
methods17 endoscopists reviewed the same video and image series of 115 polyps [33% SL, 33% Hyperplastic Polyps (HP), and 34% tubular adenoma (TA)]. Presentation of polyps (SSL, TA, HP) was randomized with 50% of the polyps being displayed with a CADx diagnosis, and other 50% without.
resultsCADx identified 52.6% of SSL as HP and 47.4% as TA. CADx identified 68.4% of HP correctly and 82.1% of TA correctly. The accuracy of the endoscopists for SSL did not differ significantly when the CADx diagnosis was displayed compared to no CADx being displayed (64.1% vs 64.9%, p > 0.05). The diagnostic accuracy for HP and TA improved among endoscopists when a correct CADx diagnosis was displayed to the endoscopists compared to when no CADx information was displayed but worsened when the displayed CADx diagnosis was incorrect.
conclusionCurrent CADx systems when displaying correct diagnostic outputs for HP or TA improve diagnostic accuracy of the endoscopists. CADx systems not trained for SSL recognition do not significantly affect SSL recognition among endoscopists even if an incorrect diagnostic output (TA or HP) is displayed.
Indexed as
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.