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Towards multimodal graph neural networks for surgical instrument anticipation.

Wagner LarsDennis N SchneiderLeon MayerAlissa JellCarolin MüllerAlexander LenzAlois KnollDirk Wilhelm
Published in: International journal of computer assisted radiology and surgery (2024)
This work shows how multimodal data can be combined with the topological properties of an operating room in a graph-based approach. Our multimodal graph architecture serves as a basis for context-sensitive decision support systems in laparoscopic surgery considering a comprehensive intraoperative operating scene.
Keyphrases
  • neural network
  • laparoscopic surgery
  • pain management
  • convolutional neural network
  • patients undergoing
  • machine learning
  • chronic pain
  • data analysis