ArticleEndoscopy2023
Artificial intelligence-based polyp size measurement in gastrointestinal endoscopy using the auxiliary waterjet as a reference.
Article in Endoscopy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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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.
Artificial-intelligence-based QUAntification of Size measuremeNts of Adenoma in Routine Endoscopy
Performance Evaluation of a Computer-aided Measuring System for Colorectal Polyp Size Measurement: a Prospective Study
Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.
- Radiomics and artificial intelligence-based prediction of tumor response in digestive system neoplasm: a systematic review and meta-analysis.Frontiers in medicine · 2026Pooled it
- A prospective study evaluating an artificial intelligence-based system for withdrawal time measurement.Endoscopy · 2026Trial
- Digital Microscopy in the Endoscopy Suite: A Reference Standard for Colorectal Polyp Size Measurement.Digestive diseases and sciences · 2026Article
- Gastrointestinal endoscopic image style transfer using EndoStyle to improve artificial intelligence prediction models.NPJ digital medicine · 2026Article
- Endoscopic virtual ruler (EVR) based on image recognition technology: a novel tool for decision support in endoscopic treatment.Surgical endoscopy · 2026Article
- Establishing reference standards for small and diminutive colorectal polyp size: validation of caliper-based size measurement.Journal of the Canadian Association of Gastroenterology · 2026Article
- Comparing artificial intelligence and healthcare professional performance in surgical and interventional video analysis: a systematic review and meta-analysis.NPJ digital medicine · 2026Article
- Artificial intelligence and digital transformation of gastroenterology and hepatology: A critical review of clinical applications and future challenges.World journal of hepatology · 2026Review
- Development and validation of a real-time computer-aided measuring system for colorectal polyp size (with video).Gastroenterology report · 2026Article
- Colorectal Polyp Size Measurement Faces Infinite Possibilities: Artificial Intelligence Is the Key.Digestion · 2026Review
- Artificial Intelligence-Assisted Flexure and Landmark Identification Improves Reporting Completeness in Colonoscopy.Endoscopy international open · 2026Article
- Endoscopic Polyp Size Measurement Using a Laser-Based Sizing Probe: Pilot Study.Endoscopy international open · 2026Article
- Artificial intelligence in gastrointestinal surgery: A systematic review.World journal of gastrointestinal surgery · 2025Article
- A Novel Digital Method for Accurate Endoscopic Size Measurement of Gastric Lesions: A Comparative Study With Visual and Forceps-Assisted Estimation.Journal of gastric cancer · 2025Article
- Polyp-Size: A Precise Endoscopic Dataset for AI-Driven Polyp Sizing.Scientific data · 2025Article
- Article
- Prospective Evaluation of Real-Time Artificial Intelligence for the Hill Classification of the Gastroesophageal Junction.United European gastroenterology journal · 2025Article
- Review
- Advancing artificial intelligence applicability in endoscopy through source-agnostic camera signal extraction from endoscopic images.PloS one · 2025Article
- Use of artificial intelligence to measure colorectal polyp size without a reference object.Endoscopy international open · 2025Article
Corrections and comments
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Authors and funding
13 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundMeasurement of colorectal polyp size during endoscopy is mainly performed visually. In this work, we propose a novel polyp size measurement system (Poseidon) based on artificial intelligence (AI) using the auxiliary waterjet as a measurement reference.
methodsVisual estimation, biopsy forceps-based estimation, and Poseidon were compared using a computed tomography colonography-based silicone model with 28 polyps of defined sizes. Four experienced gastroenterologists estimated polyp sizes visually and with biopsy forceps. Furthermore, the gastroenterologists recorded images of each polyp with the waterjet in proximity for the application of Poseidon. Additionally, Poseidon's measurements of 29 colorectal polyps during routine clinical practice were compared with visual estimates.
resultsIn the silicone model, visual estimation had the largest median percentage error of 25.1 % (95 %CI 19.1 %-30.4 %), followed by biopsy forceps-based estimation: median 20.0 % (95 %CI 14.4 %-25.6 %). Poseidon gave a significantly lower median percentage error of 7.4 % (95 %CI 5.0 %-9.4 %) compared with other methods. During routine colonoscopies, Poseidon presented a significantly lower median percentage error (7.7 %, 95 %CI 6.1 %-9.3 %) than visual estimation (22.1 %, 95 %CI 15.1 %-26.9 %).
conclusionIn this work, we present a novel AI-based method for measuring colorectal polyp size with significantly higher accuracy than other common sizing methods.
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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.