Towards multimodal graph neural networks for surgical instrument anticipation

Published: 01 Jan 2024, Last Modified: 13 May 2025Int. J. Comput. Assist. Radiol. Surg. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Decision support systems and context-aware assistance in the operating room have emerged as the key clinical applications supporting surgeons in their daily work and are generally based on single modalities. The model- and knowledge-based integration of multimodal data as a basis for decision support systems that can dynamically adapt to the surgical workflow has not yet been established. Therefore, we propose a knowledge-enhanced method for fusing multimodal data for anticipation tasks.
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