Computer-aided diagnosis in GI endoscopy: looking into the future.

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

8 citing papers in PubMed.

1. EndoNet: A Multiscale Deep Learning Framework for Multiple Gastrointestinal Disease Classification via Endoscopic Images.Diagnostics (Basel, Switzerland) · 2025
   Article
2. Artificial Intelligence Enhances Studies on Inflammatory Bowel Disease.Frontiers in bioengineering and biotechnology · 2021
   Review
3. Application of artificial neural networks in detection and diagnosis of gastrointestinal and liver tumors.World journal of clinical cases · 2020
   Review
4. How Artificial Intelligence Will Impact Colonoscopy and Colorectal Screening.Gastrointestinal endoscopy clinics of North America · 2020
   Review
5. Gastrointestinal diagnosis using non-white light imaging capsule endoscopy.Nature reviews. Gastroenterology & hepatology · 2019
   Review
6. Can advanced endoscopic techniques for assessment of mucosal inflammation and healing approximate histology in inflammatory bowel disease?Therapeutic advances in gastroenterology · 2019
   Article
7. Artificial intelligence in gastrointestinal endoscopy: a comprehensive review.Annals of gastroenterology
   Review
8. Multi-task deep learning framework for enhancing Mayo endoscopic score classification in ulcerative colitis.Digital health
   Article

Corrections and comments

• Comment on
  A tablet-interfaced high-resolution microendoscope with automated image interpretation for real-time evaluation of esophageal squamous cell neoplasia.2016

Authors and funding

2 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.

Indexed as