Impact of standard enhancement settings of endoscopy systems on performance of endoscopic artificial intelligence systems.

Martijn R Jong, Carolus H J Kusters, Querijn N E van Bokhorst, Jelmer B Jukema, Rixta A H van Eijck van Heslinga, Kiki N Fockens, Britt B S L Houwen, Tim J M Jaspers, Tim G W Boers, Manon van der Vlugt, Evelien Dekker, Fons van der Sommen, Peter H N de With, Albert J de Groof, Jacques J G H M Bergman

June 2025 Endoscopy

Synopsis of Social media discussions

The discussions highlight the significance of adjusting enhancement settings to stabilize AI results, with comments referencing the methodology like retraining AI systems to handle variable settings, and terms like 'crucial' and 'potentially transformative' illustrating both the technical importance and practical implications of the findings.

A
Agreement
 Moderate agreement

Most discussions acknowledge the importance of the study's findings about how equipment settings impact AI performance, showing general agreement with its conclusions.

I
Interest
 Moderate level of interest

Participants demonstrate moderate interest, discussing technical details and implications without expressing strong enthusiasm or disinterest.

E
Engagement
 Moderate level of engagement

Comments include references to the methodology, such as retraining AI models, indicating a meaningful level of engagement.

I
Impact
 Moderate level of impact

There is a shared recognition that understanding and standardizing endoscopy settings could influence clinical outcomes, reflecting a perceived moderate to high impact.

Social Mentions

YouTube

1 Videos

Twitter

2 Posts

Metrics

Video Views

74

Total Likes

12

Extended Reach

23,163

Social Features

3

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

Impact of Endoscopy Settings on AI Performance in Diagnostics

Impact of Endoscopy Settings on AI Performance in Diagnostics

Martijn Jong discusses how standard enhancement settings of endoscopy systems influence the performance of AI-based detection and diagnosis tools, highlighting the importance of optimized settings and retraining for improved clinical reliability.

endoscopythieme

May 28, 2025

74 views

  • Endoscopy Journal
    @endoscopyjrnl (Twitter)

    #AuthorCommentary: Martijn Jong on "Impact of standard enhancement settings of endoscopy systems on performance of endoscopic artificial intelligence systems" Watch here: https://t.co/rxt80nvNYo Find the article at: https://t.co/ewxS9GgUDf Martijn R. Jong et al.
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    June 8, 2025

    3

  • Endoscopy Journal
    @endoscopyjrnl (Twitter)

    Impact of standard enhancement settings of endoscopy systems on performance of endoscopic AI systems Find the article at: https://t.co/ewxS9GgUDf Martijn R. Jong et al. https://t.co/r6NRIMJrOT
    view full post

    June 7, 2025

    8

Abstract Synopsis

  • The study shows that the accuracy of AI systems used in endoscopy can significantly vary depending on the postprocessing enhancement settings of the endoscopy equipment, which may affect their real-world reliability.
  • Researchers tested two AI systems for detecting Barrett’s neoplasia and colorectal polyps and found that changing enhancement settings caused substantial fluctuations in their sensitivity and specificity.
  • By retraining the AI systems with data augmented to include different enhancement settings, they successfully reduced performance variability, suggesting a practical way to improve AI robustness in clinical practice.