Appendix300: Surgical video and patient metadata of 330 laparoscopic appendectomy cases from five institutions
The limited availability of diverse and representative training data poses a critical barrier to the development of clinically relevant computational tools for intraoperative surgical decision support. Surgical procedures are not routinely recorded, and data annotation requires domain expertise, resulting in a scarcity of open-access surgical video datasets with high-quality annotations. Existing datasets are typically limited to single institutions and specific procedures, such as cholecystectomy, and rarely comprise patient-level metadata like demographic characteristics, disease history, or laboratory parameters. The Appendix300 dataset comprises 330 laparoscopic surgery recordings, including 325 full-length laparoscopic appendectomies and 5 control recordings from non-appendectomy procedures in pediatric and adult patients treated at five German centers. The dataset includes patient-level clinical metadata (demographics, medical history, clinical symptoms, preoperative laboratory parameters, and histopathologic findings, as well as standardized expert annotations of the laparoscopic grade of appendicitis). This dataset enables novel validation tasks for computer vision in laparoscopic surgery and facilitates simulation of decentralized learning approaches, overall enhancing the breadth and translational relevance of AI-based surgical video analysis.
Authors
- Stefanie Speidel (ORCID: https://orcid.org/0000-0002-4590-1908)
- Jurek Schultz (ORCID: https://orcid.org/0000-0001-5638-8663)
- Kathy Pfeiffer (ORCID: https://orcid.org/0009-0000-7643-4284)
- Thorsten Jacobi
- Jürgen Weitz (ORCID: https://orcid.org/0000-0002-5760-6391)
- Guido Fitze
- Marius Distler (ORCID: https://orcid.org/0000-0002-3164-5755)
- Julia Barthel
- Sebastian Bodenstedt (ORCID: https://orcid.org/0000-0002-2203-9729)
- Alexander C. Jenke (ORCID: https://orcid.org/0000-0002-4675-417X)
- Fiona R. Kolbinger (ORCID: https://orcid.org/0000-0003-2265-4809)
- Jakob Nikolas Kather (ORCID: https://orcid.org/0000-0002-3730-5348)
- Oliver Lester Saldanha (ORCID: https://orcid.org/0000-0002-3594-7590)
- Karolin Dehlke
- Matthias Carstens (ORCID: https://orcid.org/0000-0001-6275-8288)
- Sophia Dietz
- Sören Torge Mees
- Sotirios Emmanouilidis
- Linda Leitermann
- Conrad Prudlo
- Astrid Seiberth
- Karolin Thiel
- Daniel Ziehn
- Fabian Holderried
- Weam Kanjo
- Max Kirchner
- Martin Freitag
- Steffen Pistorius
Institutions
- Purdue University West Lafayette (US)
- Heidelberg University (DE)
- Helmholtz-Zentrum Dresden-Rossendorf (DE)
- University Hospital Heidelberg (DE)
- National Center for Tumor Diseases (DE)
- Krankenhaus Dresden-Friedrichstadt (DE)
- Diakonissenkrankenhaus (DE)
- MVZ Labor Ravensburg (DE)
- Cicor (Germany) (DE)
- St. Joseph-Krankenhaus (DE)
- University Hospital Carl Gustav Carus (DE)
- Technische Universität Dresden (DE)
Publication Details
- Journal
- Scientific Data
- Published
- 2026-06-12
- DOI
- https://doi.org/10.1038/s41597-026-07593-6
- Primary Topic
- Surgical Simulation and Training
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Clinical Trial Center, China Medical University Hospital
- Deutsches Krebsforschungszentrum
- Joachim Herz Stiftung
- National Institute for Health and Care Research
- Department of Health and Social Care
- European Commission
- Deutscher Akademischer Austauschdienst
- Deutsche Forschungsgemeinschaft
- Bundesministerium für Bildung und Forschung
- Technische Universität Dresden
- Jung-Stiftung für Wissenschaft und Forschung
- Deutsche Krebshilfe
- Gemeinsame Bundesausschuss
- National Institutes of Health
- HORIZON EUROPE Framework Programme
- Leeds Biomedical Research Centre
- National Center for Advancing Translational Sciences