Endoscopy August 2021 PMID 32898919

Computerized image analysis of blood vessels within mucosal defects for the prediction of delayed bleeding following colonic endoscopic mucosal resection: a pilot study.

Yonatan Shaleve, Edmond Sabo, Michael J Bourke, Amir Klein

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Mentions

Peak: 14 in Apr 2021

across 3 sources since Apr 2021

Extended reach

68,646

potential audience

Total likes

Video views

111

Mentions per month

Apr 2021 – Aug 2021

Where it's discussed

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Facebook2 posts
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AI synopsis

What people are saying

The collective discussions reflect cautious optimism about the study's innovative use of computerized image analysis and AI for predicting bleeding risk, with mentions of 'Polyp detection is just the start for AI in GI endoscopy' and references to the study as an 'under-the-radar, pilot study,' indicating curiosity about its future impact but limited deep engagement or critical evaluation.

AgreementNeither agree nor disagree

The discussions acknowledge the study's significance but do not show strong endorsement or critique.

InterestModerate interest

The posts display some curiosity about the application of AI in GI procedures, but overall engagement remains limited.

EngagementModerate engagement

Comments mention the potential of AI tools and highlight the innovative aspect of blood vessel analysis, indicating moderate interest.

ImpactModerate impact

The posts suggest a recognition of the study's potential to influence future GI practices, but the overall tone hints at early-stage exploration rather than definitive change.

Abstract in brief

The study found that blood vessels within mucosal defects after colonic endoscopic mucosal resection (EMR) tend to have larger and more complex structures in patients who experience delayed bleeding, suggesting vessel morphology can be a predictor.
Using computerized image analysis and machine learning models like neural networks, the researchers achieved high accuracy (up to 100% sensitivity) in predicting patients at risk of bleeding based on vessel characteristics.
The findings indicate that analyzing blood vessel appearance in postEMR tissue could improve prediction of bleeding complications beyond traditional clinical methods.]

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All mentions

Blood Vessel Analysis for Predicting Delayed Bleeding Post-EMR

This study explores how computerized analysis of blood vessel structure in mucosal defects can predict delayed bleeding after colonic EMR, enhancing prediction accuracy over traditional methods.

endoscopythieme · Jul 27, 2021 111 views

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