ArticleDigestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society2022
Challenges in artificial intelligence for polyp detection.
Article in Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05553977 (Design and Validation of an Artificial Intelligence System to Detect the Quality of Colon Cleansing Before Colonoscopy), which is not on this map. Cited by 2 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.
Design and Validation of an Artificial Intelligence System to Detect the Quality of Colon Cleansing Before Colonoscopy
Who cites it
2 citing papers in PubMed.
- Evaluation efficacy and accuracy of a real-time computer-aided polyp detection system during colonoscopy: a prospective, multicentric, randomized, parallel-controlled study trial.Surgical endoscopy · 2025Trial
- As how artificial intelligence is revolutionizing endoscopy.Clinical endoscopy · 2024Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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What OpenQuestion holds
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.