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Evaluation of a Touchless Angiography Suite Computer Controller for Neuroendovascular Procedures.

Adam Andrew DmytriwKevin PhanJamie TremaineMatt StricklandIvan RadovanovicTimo KringsVitor M Pereira
Published in: Clinical neuroradiology (2019)
For the overall group 15/21 (71.4%) individuals learned the left anterior oblique 30 degrees (LAO30) task within 20 cases, 17/21 (80.9%) learned the aneurysm neck task within 20 cases, 16/21 (76.2%) learned the parent vessel task and 14/21 (66%) learned the neck and parent vessel (anatomical) tasks. Staff were more consistent (i.e. smallest standard deviation) amongst the groups compared to medical students and residents; however, it was noted that a significant learning effect was observed in participants across every level of medical and angiographic expertise. Touchless angiography suite control with a gestural interface is feasible for the manipulation of angiographic images for neuroendovascular procedures. Learning to use the system was rapid across any level of medical training but greatest for staff neurointerventionalists.
Keyphrases
  • optical coherence tomography
  • medical students
  • healthcare
  • computed tomography
  • deep learning
  • coronary artery
  • long term care
  • machine learning
  • loop mediated isothermal amplification
  • sensitive detection