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
Optical diagnosis of colorectal polyp images using a newly developed computer-aided diagnosis system (CADx) compared with intuitive optical diagnosis.
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Nov 2021 – Dec 2021Where it's discussed
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X / Twitter5 posts
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Facebook2 posts
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YouTube1 videos
AI synopsis
What people are saying
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.
Most discussants recognize the study as credible and relevant, noting the improved accuracy of CADx over traditional methods.
The discussions demonstrate high engagement, with many expressing curiosity about how the system works and its potential clinical use.
Participants reference specific imaging techniques and efficacy results, showing they are deeply involved in understanding the implications.
Several comments highlight the transformative potential of AI in endoscopy, suggesting a moderate to high influence on future diagnostic practices.
Abstract in brief
- 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.
Top posts
Most liked on X and BlueskyOptical 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
RT @endoscopyjrnl: Optical diagnosis of colorectal polyp images using a newly developed computer-aided diagnosis system (#CADx) compared wi…
RT @endoscopyjrnl: Optical diagnosis of colorectal polyp images using a newly developed computer-aided diagnosis system (#CADx) compared wi…
All mentions
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.
RT @endoscopyjrnl: Optical diagnosis of colorectal polyp images using a newly developed computer-aided diagnosis system (#CADx) compared wi…
RT @endoscopyjrnl: Optical diagnosis of colorectal polyp images using a newly developed computer-aided diagnosis system (#CADx) compared wi…
RT @endoscopyjrnl: Optical diagnosis of colorectal polyp images using a newly developed computer-aided diagnosis system (#CADx) compared wi…
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
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
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