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Deep learning-based video-analysis of instrument motion in microvascular anastomosis training.

Taku SugiyamaHiroyuki SugimoriMinghui TangYasuhiro ItoMasayuki GekkaHaruto UchinoMasaki ItoKatsuhiko OgasawaraMiki Fujimura
Published in: Acta neurochirurgica (2024)
The deep learning-based kinematic analytic approach for surgical instruments proves beneficial in assessing performance in microvascular anastomosis. Moreover, this methodology can be adapted for use in clinical settings.
Keyphrases
  • deep learning
  • artificial intelligence
  • convolutional neural network
  • patient reported outcomes
  • machine learning
  • virtual reality
  • upper limb