Automatic Planning Tools for Lumbar Pedicle Screws: Comparison and Validation of Planning Accuracy for Self-Derived Deep-Learning-Based and Commercial Atlas-Based Approaches.

Moritz SchererLisa KauschAkbar BajwaJan-Oliver NeumannBasem Ishak Paul V NaserPhilipp VollmuthKarl KieningKlaus Maier-HeinAndreas Unterberg

Published in: Journal of clinical medicine (2023)

Deep learning appears to be a promising approach to reliable automated screw planning, coping well with anatomic variations of the spine that severely limit the accuracy of ATL systems.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
minimally invasive
machine learning
depressive symptoms
single cell
robot assisted