Evidence map›Paper›PMID 41409025›Full record

ReviewClinical endoscopy2026

Advanced endoscopy and artificial intelligence-enabled vascular healing for ulcerative colitis: promising frontiers or mere mirage?

Yasuharu Maeda, Shin-Ei Kudo, Takanori Kuroki, Yurie Kawabata, Jun Ohara, Katsuro Ichimasa, Noriyuki Ogata, Kazuo Ohtsuka, Masashi Misawa

Abstract readReview
In one paragraph

Review in Clinical endoscopy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yasuharu MaedaDigestive Disease Center, Showa Medical University Northern Yokohama Hospital, Yokohama, Japan. yasuharu@med.showa-u.ac.jp.
Shin-Ei KudoDigestive Disease Center, Showa Medical University Northern Yokohama Hospital, Yokohama, Japan.
Takanori KurokiDigestive Disease Center, Showa Medical University Northern Yokohama Hospital, Yokohama, Japan.
Yurie KawabataDigestive Disease Center, Showa Medical University Northern Yokohama Hospital, Yokohama, Japan.
Jun OharaDepartment of Diagnostic Pathology, Showa Medical University, Tokyo, Japan.
Katsuro IchimasaDigestive Disease Center, Showa Medical University Northern Yokohama Hospital, Yokohama, Japan.
Noriyuki OgataDigestive Disease Center, Showa Medical University Northern Yokohama Hospital, Yokohama, Japan.
Kazuo OhtsukaEndoscopy Unit, Institute of Science Tokyo, Tokyo, Japan.
Masashi MisawaDigestive Disease Center, Showa Medical University Northern Yokohama Hospital, Yokohama, Japan.

Funding

JSPS KAKENHI JP23K09537Takeda Science Foundation
6 · The paper itself

Abstract

Ulcerative colitis, a chronic inflammatory bowel disease, is characterized by subtle microvascular alterations that play a critical role in disease perpetuation and mucosal injury. Recent advances in image-enhanced endoscopy and ultrahigh-magnification endoscopy have improved the real-time visualization of these vascular changes while highlighting their diagnostic value. Artificial intelligence (AI)-enabled endoscopic systems provide automated, reproducible vascular assessments. Emerging data suggest that AI-based vascular healing correlates with clinical remission and may alter histological scores, enabling the prediction of sustained remission. Despite these promising advances, challenges remain, such as standardizing vascular healing definitions, addressing interobserver variability, and validating AI-driven platforms in real-world settings. Integrating microvascular-targeted therapies and advanced imaging has the potential to transform the management of ulcerative colitis, facilitating sustained remission and improving the quality of life. This review examined the evolving role of microvascular assessment in ulcerative colitis, the potential of AI in refining endoscopic evaluation, and the prospects of incorporating vascular healing as a therapeutic target.

Indexed as

Artificial intelligenceEndoscopyMicrovesselsPrognosisUlcerative colitis

Identifiers

PMID41409025
PMCPMC13624752

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.