Virtual indigo carmine dyeing: New artificial intelligence-based chromoendoscopy technique.

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

4 citing papers in PubMed.

1. Artificial intelligence-based virtual iodine staining model for esophageal squamous cell carcinoma: a multicenter proof-of-concept study.Surgical endoscopy · 2026
   Article
2. Virtual NBI image synthesis using stable diffusion for enhanced recognition of early gastric cancer: a technical validation study.Annals of medicine · 2025
   Article
3. Recent advancements in image-enhanced endoscopy in the pancreatobiliary field.DEN open · 2025
   Review
4. Diagnostic performance of deep-learning-based virtual chromoendoscopy in gastric neoplasms.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2024
   Article

Corrections and comments

• Commented on by
  Diagnostic performance of deep-learning-based virtual chromoendoscopy in gastric neoplasms.2024

Authors and funding

3 authors.

Funding

Abstract

PubMed holds no abstract for this paper.

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