Optical diagnosis of colorectal polyp images using a newly developed computer-aided diagnosis system (CADx) compared with intuitive optical diagnosis.

Quirine E W van der Zander, Ramon M Schreuder, Roger Fonollà, Thom Scheeve, Fons van der Sommen, Bjorn Winkens, Patrick Aepli, Bu'Hussain Hayee, Andreas B Pischel, Milan Stefanovic, Sharmila Subramaniam, Pradeep Bhandari, Peter H N de With, Ad A M Masclee, Erik J Schoon

December 2021 Endoscopy

Synopsis of Social media discussions

The discussions show excitement about the high diagnostic accuracy of the CADx system, with examples like mentions of the 95% accuracy rate and comparisons to human experts, conveying a tone of enthusiasm and recognition of technological advancement. Words such as 'breakthrough,' 'significant,' and 'game changer' indicate strong optimism about its clinical impact.

A
Agreement
 Moderate agreement

Most discussants recognize the study as credible and relevant, noting the improved accuracy of CADx over traditional methods.

I
Interest
 High level of interest

The discussions demonstrate high engagement, with many expressing curiosity about how the system works and its potential clinical use.

E
Engagement
 Moderate level of engagement

Participants reference specific imaging techniques and efficacy results, showing they are deeply involved in understanding the implications.

I
Impact
 Moderate level of impact

Several comments highlight the transformative potential of AI in endoscopy, suggesting a moderate to high influence on future diagnostic practices.

Social Mentions

YouTube

1 Videos

Facebook

2 Posts

Twitter

5 Posts

Metrics

Video Views

90

Total Likes

8

Extended Reach

23,727

Social Features

8

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

Enhanced Optical Diagnosis of Colorectal Polyps with Computer-Aided System

Enhanced Optical Diagnosis of Colorectal Polyps with Computer-Aided System

This study assesses a new computer-aided diagnosis system using high-definition white light and blue light imaging, achieving 95% accuracy, surpassing expert and novice endoscopists, especially in sensitivity.

endoscopythieme

November 25, 2021

90 views

  • Celia Caravaca
    @caravaca_celia (Twitter)

    RT @endoscopyjrnl: Optical diagnosis of colorectal polyp images using a newly developed computer-aided diagnosis system (#CADx) compared wi…
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    December 6, 2021

    3

  • Dr. Vasista Palnati
    @TheGutFeels (Twitter)

    RT @endoscopyjrnl: Optical diagnosis of colorectal polyp images using a newly developed computer-aided diagnosis system (#CADx) compared wi…
    view full post

    December 5, 2021

    3

  • Michael Zapata Palomino
    @DrMichaelzp (Twitter)

    RT @endoscopyjrnl: Optical diagnosis of colorectal polyp images using a newly developed computer-aided diagnosis system (#CADx) compared wi…
    view full post

    December 5, 2021

    3

  • Endoscopy Journal
    @endoscopyjrnl (Twitter)

    Optical diagnosis of colorectal polyp images using a newly developed computer-aided diagnosis system (#CADx) compared with intuitive optical diagnosis by Quirine van der Zander, Ramon M. Schreuder, Roger Fonollà et al. Read more here: https://t.co/DvCJSXm40I https://t.co/0dmguer2x1
    view full post

    December 5, 2021

    8

    3

  • Endoscopy Journal
    @endoscopyjrnl (Twitter)

    Optical diagnosis of colorectal polyp images using a newly developed computer-aided diagnosis system (CADx) compared with intuitive optical diagnosis Authors: Quirine van der Zander et al. Read more here: https://t.co/DvCJSX4t9a Watch the video here: https://t.co/o2rlOo7t0m
    view full post

    December 1, 2021

Abstract Synopsis

  • The study developed a computer-aided diagnosis system (CADx) using artificial neural networks to improve the optical diagnosis of colorectal polyps, achieving higher accuracy than both expert and novice endoscopists.
  • CADx using multimodal imaging (HDWL and BLI) had a diagnostic accuracy of 95%, significantly outperforming human experts and novices, especially in sensitivity.
  • The system's diagnostic performance was better with multimodal imaging, but it did not improve the accuracy of endoscopists' intuitive diagnosis when compared to traditional methods.