TRV-2026-2011Version 1 · Certified

Written 2026-10-20 10:43:03 UTC · current record

Reason for this version

Certified into the record

Canonical text (the exact bytes fingerprinted)

TRUVACE RECORD VERSION
record: TRV-2026-2011
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-10-20T10:43:03.773445Z
status: published
lens: trace
sector: health
headline: A Video-Based Artificial Intelligence Platform for Measuring Esophagogastroduodenoscopy Duration and Suggesting Real-Time Landmark Documentation
dek: Background and Study Aims The European Society of Gastrointestinal Endoscopy (ESGE) sets key quality indicators for esophagogastroduodenoscopy (EGD), including a minimum procedural time of 7 min and photodocumentation of landmarks. We evaluated AI-derived procedural times, physician variations, and the impact of AI suggestions on landmark documentation rates. Methods This retrospective multicenter study included 78,336 EGDs performed by 213 physicians (01.01.2024-31.12.2025). A video-based AI platform (Theator I…
gain_title: AI timestamps matched blinded expert review in 98.5% of checked cases, and AI landmark suggestions cut procedures with zero documented landmarks by 42.6%.
problem_title: Measured procedure times fell far below the ESGE 7-minute benchmark, with a median of 3.30 minutes and only 6.1% of procedures meeting the threshold.
trace_subject: AI-based quality auditing of esophagogastroduodenoscopy
gain_reading: AI timestamps matched blinded expert review in 98.5% of checked cases, and AI landmark suggestions cut procedures with zero documented landmarks by 42.6%.
gain_evidence: AI timestamps were concordant with expert review in 98.5% of cases | AI landmark suggestions reduced zero-landmark procedures by 42.6%
problem_reading: Measured procedure times fell far below the ESGE 7-minute benchmark, with a median of 3.30 minutes and only 6.1% of procedures meeting the threshold.
problem_evidence: only 6.1% of procedures meeting the ESGE-recommended 7-min threshold
quick_read: Researchers analyzed 78,336 upper endoscopies by 213 physicians over 2024 to 2025 using a video-based AI platform. The system measured procedure duration, offered real-time suggestions for photographing anatomical landmarks, and tracked whether those photos were documented. Two blinded experts checked 500 procedures to validate the timing.

The findings show that automated, unattended measurement can audit endoscopy quality at scale and reveal wide variation among physicians. Procedure times often fell short of the European benchmark, which raises concerns about thoroughness. The study is retrospective, so the documentation gains are reported as an association rather than proven cause.
limitation: 
tag: Dual reading
key_points: The study covered 78,336 EGDs by 213 physicians from January 2024 to December 2025. | Median procedure time was 3.30 minutes, with an interquartile range of 2.27 to 4.65. | Among 203 physicians with at least 50 procedures, average times ranged from 1.35 to 7.56 minutes, a 5.6-fold difference. | Zero-landmark procedures fell from 27.5% to 15.8% with AI suggestions, and the association persisted after restratifying by biopsy-free time.
rundown: ESGE quality indicators call for a minimum procedural time of 7 minutes and photodocumentation of landmarks. The study tested whether an AI platform from Theator could measure these indicators automatically from video.

Validation used two blinded experts reviewing 500 procedures, with agreement defined as within 2 seconds. AI timestamps agreed with them in 98.5% of cases, with a 95% confidence interval of 97.1 to 99.3%.

Only 6.1% of procedures reached the 7-minute threshold, and individual physicians' typical times varied 5.6-fold. The authors conclude that automated measurement offers a scalable route to auditing upper endoscopy quality.
sources:
- peer_reviewed | Endoscopy International Open | https://doi.org/10.1055/a-2965-6499 | 2026-10-13
prev: 0000000000000000000000000000000000000000000000000000000000000000
sha256
744bea8de66e0378fa58ef95cca04e8fdc6c8d365a29aaa4d17e570623e4aaf8
previous
0000000000000000000000000000000000000000000000000000000000000000
Verify this record
How to verify without trusting this page

Fetch the canonical text of any version from /api/record/TRV-2026-2011 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.