Atıf İçin Kopyala
Mlambo B., Shields M., Bach S., Bauer A., Hung A., Kudsi O. Y., ...Daha Fazla
Mayo Clinic Proceedings: Digital Health, cilt.10.10162025100257, ss.1-23, 2025 (Hakemli Dergi)
Özet
ABSTRACT
Objective
To develop and share the first clinical temporal annotation guide library for ten robotic procedures accompanied with a standardized, computer-readable ontology framework for surgical video annotation.
Patients and Methods
A standardized temporal annotation framework of surgical videos paired with consistent, procedure-specific annotation guides are critical to enable comparisons of surgical insights and facilitate large-scale insights for exceptional surgical practice. Existing ontologies and guidance provide foundational frameworks but provide limited scalability in clinical settings. Building on these, we developed a temporal annotation framework with nested surgical phases, steps, tasks, and subtasks. Procedure-specific annotation resource guides consistent with this framework that define each surgical segment with formulaic start and stop parameters and surgical objectives were iteratively created across seven years (January 1, 2018-January 1, 2025) through global research collaborations with surgeon researchers and industry scientists.
Results
We provide the first resource library of annotation guides for ten common robotic procedures consistent with our proposed temporal annotation framework, enabling consistent annotations for clinicians and large-scale data comparisons with computer-readable examples. These have been utilized in over 13000 annotated surgical cases globally, demonstrating reproducibility and broad applicability.
Conclusion
This resource library and accompanying computer-readable ontology framework provides critical structure for standardized temporal segmentation in robotic surgery. This framework has been applied globally in private studies examining surgical objective performance metrics, surgical education, workflow characterization, outcome prediction, algorithms for surgical activity recognition, and more. Adoption of these resources will unify clinical, academic, and industry efforts, ultimately catalyzing transformational advancements in surgical practice.