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Related Concept Videos

Appendicitis-II: Diagnostic Studies and Management01:29

Appendicitis-II: Diagnostic Studies and Management

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Diagnosing and managing appendicitis requires a structured and comprehensive approach that spans from initial assessment to postoperative care. Here is an overview of the process:
Diagnosing Appendicitis
It requires a multifaceted approach, starting with a detailed physical examination to pinpoint the location and nature of the pain and identify any associated symptoms. Laboratory tests play a crucial role. A complete Blood Count (CBC) typically reveals leukocytosis (an increased number of...
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Related Experiment Video

Updated: May 6, 2026

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Appendix300: A multi-institutional laparoscopic appendectomy video dataset for computational modeling tasks.

Fiona R Kolbinger1,2,3, Max Kirchner4, Kevin Pfeiffer2

  • 1Department of Visceral, Thoracic and Vascular Surgery, University Hospital and Faculty of Medicine Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany.

Medrxiv : the Preprint Server for Health Sciences
|September 15, 2025
PubMed
Summary
This summary is machine-generated.

The Appendix300 dataset offers the largest public collection of laparoscopic appendectomy videos with patient data, enabling AI advancements in surgical decision support. This resource facilitates AI-based surgical video analysis for improved patient care.

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Area of Science:

  • Surgical data science
  • Computer vision in surgery
  • Artificial intelligence in healthcare

Background:

  • Limited availability of diverse surgical training data hinders clinical AI tool development.
  • Surgical videos are not routinely recorded, and annotations require expertise, leading to scarce, high-quality open-access datasets.
  • Existing datasets often lack patient-level metadata and are institution-specific.

Purpose of the Study:

  • To introduce the Appendix300 dataset, a comprehensive resource for surgical video analysis.
  • To enable validation of computer vision algorithms for tasks like appendicitis severity classification and perforation detection.
  • To facilitate decentralized learning and enhance the translational relevance of AI in laparoscopic surgery.

Main Methods:

  • The Appendix300 dataset contains 330 laparoscopic surgery recordings from five German centers.
  • Includes 325 laparoscopic appendectomies and 5 control procedures in pediatric and adult patients.
  • Features patient-level clinical metadata and expert annotations for appendicitis grade.

Main Results:

  • Appendix300 is the largest public collection of surgical video data with patient metadata.
  • It is the first curated dataset for laparoscopic appendectomies, enabling novel validation tasks.
  • Annotations for laparoscopic appendicitis grade demonstrated substantial interrater agreement (κ = 0.615).

Conclusions:

  • Appendix300 integrates video, clinical, and pathological data across institutions, expanding surgical data science.
  • Enables clinically relevant patient-level validation tasks for computer vision in laparoscopic surgery.
  • Facilitates decentralized learning, enhancing AI-based surgical video analysis breadth and relevance.