Endoscopy July 2025 PMID 39933729

The development and ex vivo evaluation of a computer-aided quality control system for Barrett's esophagus endoscopy.

Martijn R Jong, Tim J M Jaspers, Rixta A H van Eijck van Heslinga, Jelmer B Jukema, Carolus H J Kusters, Tim G W Boers, Roos E Pouw, Lucas C Duits, Peter H N de With, Fons van der Sommen, Albert Jeroen de Groof, Jacques J G H M Bergman

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Mentions

Peak: 3 in Jul 2025

across 2 sources since Jun 2025

Extended reach

24,201

potential audience

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Mentions per month

Jun 2025 – Jul 2025

Where it's discussed

X / Twitter3 posts
YouTube1 videos

AI synopsis

What people are saying

The discussions highlight a high enthusiasm for the AI-enabled quality control system, with posts referencing its ability to increase sensitivity and its potential to revolutionize Barrett's esophagus endoscopy. The tone emphasizes innovation, with words like 'boosts,' 'improves,' and 'first of its kind,' illustrating a shared optimism about the technology's impact.

AgreementModerate agreement

Most discussions express strong support and positive interpretation of the study's findings, emphasizing the importance of AI in improving diagnostic accuracy.

InterestHigh interest

The topics attract high interest, with references to AI advancements and potential improvements in endoscopic practices.

EngagementModerate engagement

Comments include specific mentions of how the system works and its benefits, indicating active engagement.

ImpactHigh impact

The discussions suggest this development could significantly influence clinical practices and diagnostic procedures.

Abstract in brief

This study introduces a new computer-aided quality control system (CAQ) for Barrett's esophagus endoscopy that assesses image quality based on factors like blurriness, illumination, and mucosal cleanliness, helping to improve detection of neoplasia.
When used alone, the CAQ system accurately evaluates image quality and matches expert assessments, and when combined with a computer-aided detection (CADe) system, it increases the sensitivity for identifying neoplastic tissue from 82% to 90%, leading to better diagnostic performance.
Overall, the CAQ system is the first of its kind for automated quality control in BE procedures, effectively filtering out low-quality images and boosting the ability of CADe systems to detect potentially cancerous areas.]

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All mentions

Computer-Aided Quality Control System Enhances Barrett's Esophagus Endoscopy

Martijn R Jong discusses the development and evaluation of a computer-aided quality control system for Barrett's esophagus endoscopy, which assesses image quality and improves detection of neoplasia by filtering…

endoscopythieme · Jun 27, 2025 80 views

Endoscopy Journal

@endoscopyjrnl · X

Jul 6, 2025 · 3 likes · 11,537 followers View post →

Osama Ebada Salem

@osamaebada · X

RT @endoscopyjrnl: AI boosts quality control in Barrett’s esophagus endoscopy Find the article at: https://t.co/rIhzKz3ZmU Martijn R. Jon…

Jul 5, 2025 · 1 share · 1,028 followers View post →