ArticleSurgical endoscopy2023
SAGES consensus recommendations on surgical video data use, structure, and exploration (for research in artificial intelligence, clinical quality improvement, and surgical education).
Article in Surgical endoscopy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- GEN-Guard: correcting generalization failures for deployable federated surgical AI.International journal of computer assisted radiology and surgery · 2026Article
- Risk and liability in the deployment of AI systems for surgery: a SAGES white paper.Surgical endoscopy · 2026Review
- Endoshare: a publicly available, surgeons-friendly solution to de-identify and manage surgical videos.Surgical endoscopy · 2026Article
- [Artificial intelligence in surgical disciplines: Clinical application, advantages, and potential-a Delphi expert consensus].Urologie (Heidelberg, Germany) · 2026Article
- Optimizing AI implementation for surgery: recommendations for infrastructure and deployment in the operating room.NPJ digital medicine · 2026Article
- Artificial intelligence in emergency surgery: a scoping review within the artificial intelligence in emergency and trauma surgery (ARIES) project.World journal of emergency surgery : WJES · 2026Article
- [Multimodal data processing through AI: envisioning the operating room of the future].Chirurgie (Heidelberg, Germany) · 2025Review
- A national review of NHS policies and patient perspectives on surgical video: a prospective, mixed methods qualitative analysis.EClinicalMedicine · 2025Article
- The ACPGBI AI taskforce report: A mixed-methods roadmap for AI in colorectal surgery.Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland · 2025Article
- Use of artificial intelligence in the analysis of digital videos of invasive surgical procedures: scoping review.BJS open · 2025Article
- Balancing Ethics and Innovation: Can Artificial Intelligence Safely Transform Emergency Surgery? A Narrative Perspective.Journal of clinical medicine · 2025Article
- Robotic-assisted surgery in the Arab world: are we there yet?Journal of robotic surgery · 2025Review
- From Data to Decision: A Comprehensive Review of Real-Time Analytics and Smart Technologies in the Surgical Suite.Methodist DeBakey cardiovascular journal · 2025Review
- Enhancing surgical object detection in laparoscopic cholecystectomy with explicit positional relationship modeling.Computational and structural biotechnology journal · 2025Article
- Consensus for Operating Room Multimodal Data Management: Identifying Research Priorities for Data-Driven Surgery.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2024Article
- Adoption of routine surgical video recording: a nationwide freedom of information act request across England and Wales.EClinicalMedicine · 2024Article
- Article
- Leveraging data science and AI to democratize global surgical expertise.BMJ surgery, interventions, & health technologies · 2024Article
- Surgical Phase Duration in Robot-Assisted Partial Nephrectomy: A Surgical Data Science Exploration for Clinical Relevance.Diagnostics (Basel, Switzerland) · 2023Article
- Could Artificial Intelligence guide surgeons' hands?Revista do Colegio Brasileiro de Cirurgioes · 2023Article
Corrections and comments
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Authors and funding
20 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSurgery generates a vast amount of data from each procedure. Particularly video data provides significant value for surgical research, clinical outcome assessment, quality control, and education. The data lifecycle is influenced by various factors, including data structure, acquisition, storage, and sharing; data use and exploration, and finally data governance, which encompasses all ethical and legal regulations associated with the data. There is a universal need among stakeholders in surgical data science to establish standardized frameworks that address all aspects of this lifecycle to ensure data quality and purpose.
methodsWorking groups were formed, among 48 representatives from academia and industry, including clinicians, computer scientists and industry representatives. These working groups focused on: Data Use, Data Structure, Data Exploration, and Data Governance. After working group and panel discussions, a modified Delphi process was conducted.
resultsThe resulting Delphi consensus provides conceptualized and structured recommendations for each domain related to surgical video data. We identified the key stakeholders within the data lifecycle and formulated comprehensive, easily understandable, and widely applicable guidelines for data utilization. Standardization of data structure should encompass format and quality, data sources, documentation, metadata, and account for biases within the data. To foster scientific data exploration, datasets should reflect diversity and remain adaptable to future applications. Data governance must be transparent to all stakeholders, addressing legal and ethical considerations surrounding the data.
conclusionThis 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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.