ArticleEndoscopy international open2018
New report preparation system for endoscopic procedures using speech recognition technology.
Article in Endoscopy international open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 9 citations in OpenAlex.
- Colonoscopy report generation using voice recognition system.Endoscopy · 2026Article
- Exploring a novel voice-guided artificial intelligence platform for real-time colonoscopy documentation: a pilot study.Journal of the Canadian Association of Gastroenterology · 2025Article
- Speech Recognition System Generates Highly Accurate Endoscopic Reports in Clinical Practice.Internal medicine (Tokyo, Japan) · 2023Observational
- Effects of a novel endoscopic reporting system with voice recognition on the endoscopic procedure time and report preparation time: propensity score matching analysis.Journal of gastroenterology · 2022Article
- Preliminary assessment of two novel mechanical colonoscopic polypectomy simulators: Description, evaluation and validation.Endoscopy international open · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND STUDY
aimsWe developed a new reporting system based on structured data entry, which selectively extracts only endoscopic findings from endoscopists' oral statements and automatically inputs them into appropriate columns in real time during endoscopic procedures.
methodsWe compared the time for endoscopic procedures and report preparation (ER time) by using an esophagogastroduodenoscopy simulator in three groups: one preparing reports using a mouse after endoscopic procedures (CE group); a second group preparing reports by using voice alone during endoscopic procedures (SR group); and the final group preparing reports by operating the system with a foot switch and inputting findings using voice during endoscopic procedures (SR + FS group). For the SR and SR + FS groups, we identified the recognition rates of the speech recognition system.
resultsMean ER times for cases with three findings each were 162, 130 and 119 seconds in the CE, SR and SR + FS groups, respectively. The mean ER times for cases with six findings each were 220, 144 and 128 seconds, respectively. The times in the SR and SR + FS groups were significantly shorter than that in the CE group (
conclusionOur reporting system was demonstrated to allow an endoscopist to efficiently complete the report in real time during endoscopic procedures.
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.