MOSaiC: a Web-based Platform for Collaborative Medical Video Assessment and Annotation
This addresses the need for efficient video annotation tools in medical research, particularly for surgical data science, but is incremental as it builds on existing platform versions.
The paper introduces MOSaiC 3.6.2, a web-based platform for collaborative annotation and assessment of medical videos, aimed at accelerating surgical data science projects, and reports its use in several medical data science studies for dataset development.
This technical report presents MOSaiC 3.6.2, a web-based collaborative platform designed for the annotation and evaluation of medical videos. MOSaiC is engineered to facilitate video-based assessment and accelerate surgical data science projects. We provide an overview of MOSaiC's key functionalities, encompassing group and video management, annotation tools, ontologies, assessment capabilities, and user administration. Finally, we briefly describe several medical data science studies where MOSaiC has been instrumental in the dataset development.