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SAGES consensus recommendations on surgical video data use, structure, and exploration (for research in artificial intelligence, clinical quality improvement, and surgical education)
31
Zitationen
20
Autoren
2023
Jahr
Abstract
This consensus presents essential recommendations around the generation of standardized and diverse surgical video databanks, accounting for multiple stakeholders involved in data generation and use throughout its lifecycle. Following the SAGES annotation framework, we lay the foundation for standardization of data use, structure, and exploration. A detailed exploration of requirements for adequate data governance will follow.
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Autoren
Institutionen
- Massachusetts General Hospital(US)
- University Hospital Cologne(DE)
- Vassar College(US)
- Massachusetts Institute of Technology(US)
- Stony Brook University Hospital(US)
- Washington University in St. Louis(US)
- National Center for Tumor Diseases(DE)
- University College London(GB)
- McMaster University(CA)
- Heidelberg University(DE)
- DKFZ-ZMBH Alliance(DE)
- German Cancer Research Center(DE)
- Laboratoire Traitement du Signal et de l'Image(FR)
- Université de Rennes(FR)
- Stanford Medicine(US)
- University Hospital Heidelberg(DE)
- NYU Langone Health(US)
- University of Toronto(CA)
- Artificial Intelligence in Medicine (Canada)(CA)
- Canada Research Chairs(CA)
- Lenox Hill Hospital(US)
- Northwell Health(US)
- Institut de Recherche contre les Cancers de l’Appareil Digestif(FR)
- Institut de Chirurgie Guidée par l'Image(FR)
- Donald & Barbara Zucker School of Medicine at Hofstra/Northwell(US)