Deep Learning Detection of Hand Motion During Microvascular Anastomosis Simulations Performed by Expert Cerebrovascular Neurosurgeons.

Journal: World neurosurgery
PMID: 39305985

Abstract

OBJECTIVE: Deep learning enables precise hand tracking without the need for physical sensors, allowing for unsupervised quantitative evaluation of surgical motion and tasks. We quantitatively assessed the hand motions of experienced cerebrovascular neurosurgeons during simulated microvascular anastomosis using deep learning. We explored the extent to which surgical motion data differed among experts.

Authors

  • Thomas J On
    The Loyal and Edith Davis Neurosurgical Research Laboratory, Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona, USA.
  • Yuan Xu
    Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, Xi'an, China.
  • Jiuxu Chen
    School of Computing and Augmented Intelligence, Arizona State University, Tempe, Arizona, USA.
  • Nicolas I Gonzalez-Romo
  • Oscar Alcantar-Garibay
    The Loyal and Edith Davis Neurosurgical Research Laboratory, Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona, USA.
  • Jay Bhanushali
    School of Computing and Augmented Intelligence, Arizona State University, Tempe, Arizona, USA.
  • Wonhyoung Park
  • John E Wanebo
    The Loyal and Edith Davis Neurosurgical Research Laboratory, Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona, USA.
  • Andrew W Grande
    Department of Neurosurgery, University of Minnesota, Minneapolis, Minnesota, USA.
  • Rokuya Tanikawa
    Department of Neurosurgery, Sapporo Teishinkai Hospital, Sapporo, Hokkaido, Japan.
  • Dilantha B Ellegala
    The Loyal and Edith Davis Neurosurgical Research Laboratory, Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona, USA.
  • Baoxin Li
    School of Computing and Augmented Intelligence, Arizona State University, Tempe, Arizona, USA.
  • Marco Santello
  • Michael T Lawton
    Department of Neurosurgery, c/o Neuroscience Publications, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, 350 West Thomas Road, Phoenix, AZ 85013, USA. Electronic address: Neuropub@barrowneuro.org.
  • Mark C Preul

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