Author Correction: Large-scale self-supervised video foundation model for intelligent surgery - Report - MDSpire

Author Correction: Large-scale self-supervised video foundation model for intelligent surgery

  • By

  • Shu Yang

  • Fengtao Zhou

  • Leon Mayer

  • Fuxiang Huang

  • Yiliang Chen

  • Yihui Wang

  • Sunan He

  • Yuxiang Nie

  • Xi Wang

  • Ömer Sümer

  • Yueming Jin

  • Huihui Sun

  • Shuchang Xu

  • Alex Qinyang Liu

  • Zheng Li

  • Jing Qin

  • Jeremy YuenChun Teoh

  • Lena Maier-Hein

  • Hao Chen

  • June 16, 2026

  • 0 min

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Correction Notice: Comprehensive Self-Supervised Video Foundation Model for Enhanced Surgical Intelligence

Overview

This correction notice addresses the omission of author Ömer Sümer from the original publication.

Background

Accurate authorship is crucial in academic publications, particularly in fields like surgical intelligence.

Data Highlights

No numerical or trial data is presented in this correction notice.

Key Findings

  • Ömer Sümer was inadvertently omitted from the author list in the original article.
  • The correction ensures proper attribution of contributions to the research.

Clinical Implications

Ensuring accurate authorship is vital for the integrity of scientific literature, particularly in collaborative research settings. This correction serves as a reminder of the importance of meticulous editorial practices.

Conclusion

The correction of authorship in this publication highlights the need for accurate representation.

Related Resources & Content

  1. Sümer Ö., npj Digital Medicine, 2026 -- Correction Notice: Comprehensive Self-Supervised Video Foundation Model for Enhanced Surgical Intelligence
  2. npj Digital Medicine — Extensive Self-Supervised Video Foundation Model for Enhanced Intelligent Surgical Procedures
  3. Integrative Semi-Supervised Learning Approaches for Real-Time Identification of Surgical Workflows with Varying Granularity
  4. SASVi: A Tool for Segmenting Surgical Videos
  5. Automated Recognition of Surgical Activities through Self-Supervised Learning Techniques
  6. The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence | Nature Medicine
  7. https://academic.oup.com/bjs/article/112/6/znaf121/8169752
  8. The role of artificial intelligence in adenoma detection during colonoscopy: a systematic review and meta-analysis of randomized controlled trials-Artificial intelligence and adenoma detection - PubMed
  9. Clinical validation of an AI-assisted system for real-time kidney stone detection during flexible ureteroscopic surgery | npj Digital Medicine
  10. Current validation practice undermines surgical AI development

Original Source(s)

Author Correction: Large-scale self-supervised video foundation model for intelligent surgery

  • by Shu Yang, Fengtao Zhou, Leon Mayer, Fuxiang Huang, Yiliang Chen, Yihui Wang, Sunan He, Yuxiang Nie, Xi Wang, Ömer Sümer, Yueming Jin, Huihui Sun, Shuchang Xu, Alex Qinyang Liu, Zheng Li, Jing Qin, Jeremy YuenChun Teoh, Lena Maier-Hein, Hao Chen

  • June 16, 2026

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