ArticleNPJ digital medicine2026
Artificial intelligence assisted colorectal lesion detection in private practices a randomized controlled study.
Article in NPJ digital medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05006092 (Multicenter Evaluation Study of the CADe System ENDOMIND in Surveillance Endoscopy for Colorectal Cancer in German Outpatient Cohort), which is not on this map. Cited by 1 paper.
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.
Multicenter Evaluation Study of the CADe System ENDOMIND in Surveillance Endoscopy for Colorectal Cancer in German Outpatient Cohort
Who cites it
1 citing paper in PubMed.
- Artificial Intelligence-Assisted Flexure and Landmark Identification Improves Reporting Completeness in Colonoscopy.Endoscopy international open · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
Abstract
Computer-aided colonoscopy (CAC) may improve polyp detection and characterization compared to traditional colonoscopy (TC). However, recent studies also reported no relevant effect on adenoma detection rate (ADR). This study evaluates the real-time polyp detection system EndoMind during screening and surveillance colonoscopy in a multicenter randomized controlled trial. From November 2021 to November 2022, 933 individuals undergoing colorectal cancer screening or post-polypectomy surveillance were recruited and randomized in five outpatient treating centers (10 examiners; >10 years of experience). 914 Patients were included in the intention to treat analysis (CAC:452, TC:462) and detected lesions were framed on the primary monitor in the CAC group. More than 94% of the examinations were screening or surveillance colonoscopies with overall similar patient characteristics. The ADR (CAC:34.5% vs TC:32.9%; p = 0.656) was not significantly different between the groups. The effect of CAC on ADR remains a controversial discussion. Diverging study setups and patient collectives complicate consistent comparisons. Future studies should focus on large-scale real-world populations. ClinicalTrials.gov:NCT05006092 (registered: 2021-08-06).
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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.