Evidence map›Paper›PMID 40690911›Full record

ReviewDigestion2026

Colorectal Polyp Size Measurement Faces Infinite Possibilities: Artificial Intelligence Is the Key.

Cheng-Long Wang, Xiang-Yu Sui, Yi Zeng, Jia-Yi Wu, Jun-Jie Xing, Song Zhang, Jia-Hui Wei, Kevin Chang, Yi-Ta Wu, Zhao-Shen Li and 3 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Digestion, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Cheng-Long WangDepartment of Gastroenterology, National Clinical Research Center for Digestive Diseases, Changhai Hospital, Naval Medical University, Shanghai, China.
Xiang-Yu SuiDepartment of Gastroenterology, National Clinical Research Center for Digestive Diseases, Changhai Hospital, Naval Medical University, Shanghai, China.
Yi ZengDepartment of Colorectal Surgery and Gastrointestinal Endoscopy Center, Changhai Hospital, Naval Medical University, Shanghai, China.
Jia-Yi WuDepartment of Construction Engineering, Jinhua Open University, Jinhua, China.
Jun-Jie XingDepartment of Colorectal Surgery and Gastrointestinal Endoscopy Center, Changhai Hospital, Naval Medical University, Shanghai, China.
Song ZhangDepartment of Gastroenterology, National Clinical Research Center for Digestive Diseases, Changhai Hospital, Naval Medical University, Shanghai, China.
Jia-Hui WeiDepartment of Gastroenterology, National Clinical Research Center for Digestive Diseases, Changhai Hospital, Naval Medical University, Shanghai, China.
Kevin ChangAI Solutions Department, Insign Medical Technology (Shanghai) Ltd., Shanghai, China.
Yi-Ta WuAI Solutions Department, Insign Medical Technology (Shanghai) Ltd., Shanghai, China.
Zhao-Shen LiDepartment of Gastroenterology, National Clinical Research Center for Digestive Diseases, Changhai Hospital, Naval Medical University, Shanghai, China, li.zhaoshen@hotmail.com.
Sheng-Bing ZhaoDepartment of Gastroenterology, National Clinical Research Center for Digestive Diseases, Changhai Hospital, Naval Medical University, Shanghai, China, zhaoshengbing@hotmail.com.
Yu BaiDepartment of Gastroenterology, National Clinical Research Center for Digestive Diseases, Changhai Hospital, Naval Medical University, Shanghai, China, changhaibaiyu@smmu.edu.cn.
En-Da YuDepartment of Colorectal Surgery and Gastrointestinal Endoscopy Center, Changhai Hospital, Naval Medical University, Shanghai, China, endayu@yeah.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

<p>Background: Colorectal neoplasia poses a severe health threat worldwide. The accurate measurement of polyp size is essential for risk stratification, selecting polypectomy techniques, and determining the surveillance interval. Summary: The methods routinely used for measuring polyp size, including objective ex vivo measurement, subjective visual estimation by an endoscopist, and objective precise measurement using endoscopic instruments, all have limitations. Therefore, the integration of artificial intelligence (AI) with endoscopy has been explored as a promising method for measuring the size of colorectal polyps. However, current AI systems are limited to endoscopic reference media or nonprospective real-time measurements. Consequently, AI-assisted endoscopy for precise, real-time automatic measurement of colorectal polyp size holds great promise for the future. Nevertheless, further extensive studies are necessary. Key Messages: This review focuses on summarizing the advancements in colorectal polyp size research and further explores the potential of AI-assisted measurements. </p>.

Indexed as

Artificial IntelligenceColonic PolypsColonoscopyColorectal NeoplasmsHumansArtificial intelligenceColonoscopyColorectal polypPolyp size measurement

Identifiers

PMID40690911
PMCPMC12503579

What OpenQuestion holds

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LicenceCC BY-NC
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.