Correction: Advanced computer-aided detection system exhibits no more false positives than experienced endoscopists in an image-based comparative study of colon polyps - Report - MDSpire

Correction: Advanced computer-aided detection system exhibits no more false positives than experienced endoscopists in an image-based comparative study of colon polyps

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  • Frontiers Production Office

  • July 9, 2026

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Clinical Report: Correction on Advanced Computer-Aided Detection System

Background

The use of computer-aided detection (CADe) systems in colonoscopy aims to enhance polyp detection rates, which is critical for colorectal cancer prevention. False positives from CADe systems can undermine clinician confidence and acceptance of this technology.

Data Highlights

No numerical data is provided in the correction notice.

Key Findings

  • The correction addresses a mix-up in the figures presented in the original article.
  • The study originally demonstrated that the CADe system exhibits no more false positives than skilled endoscopists.
  • False positives are a common challenge for both CADe systems and endoscopists.
  • Accurate representation of study findings is crucial for the evaluation of CADe technologies.

Clinical Implications

Clinicians should be aware of the corrected figures to accurately interpret the study's findings on CADe systems.

Conclusion

The correction of the figures in this study is an important step in maintaining the integrity of research findings related to CADe systems in colonoscopy.

Related Resources & Content

  1. Lei, S., Zhou, G., Berzin, T. M., et al., Frontiers in Medicine, 2026 -- Correction: Advanced computer-aided detection system exhibits no more false positives than experienced endoscopists in an image-based comparative study of colon polyps
  2. The ASCO Post — New Research Finds Computer-Assisted Colonoscopy May Identify More Precancerous Polyps Than Traditional Colonoscopy
  3. Surgical Endoscopy — Assessment of the Effectiveness and Precision of a Real-Time Computer-Assisted System for Polyp Detection in Colonoscopy: A Prospective, Multicenter, Randomized, Parallel-Controlled Trial
  4. Journal of Gastrointestinal Surgery — Utilizing Artificial Intelligence in Colonoscopy to Identify Colon Polyps: A Randomized Prospective Cohort Investigation
  5. 1 Recommendations | Artificial intelligence (AI) technologies to help detect or characterise colorectal polyps | Guidance | NICE
  6. Computer-Assisted Colonoscopy in High–Adenoma Detection Rate Settings in a High-Risk Population: A Randomized Clinical Trial | Gastroenterology and Hepatology | JAMA Network Open | JAMA Network
  7. Computer-Aided Detection Systems for Colonoscopy and Colorectal Cancer Prevention | Gastroenterology and Hepatology | JAMA Network Open | JAMA Network
  8. Impact of Availability of Computer-Aided Detection Devices on Adenoma Detection During Colonoscopy: A Cluster Randomized Study - ScienceDirect
  9. The Addition of Computer‐Aided Detection (CADe) to Texture and Color Enhancement Imaging (TXI) Does Not Improve Adenoma Detection Rate During Colonoscopy: A Prospective Study - Young - Journal of Gastroenterology and Hepatology - Wiley Online Library
  10. Frontiers | Advanced computer-aided detection system exhibits no more false positives than experienced endoscopists in an image-based comparative study of colon polyps

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