Improvement of Machine Learning-Based Prediction of Pedicle Screw Stability in Laser Resonance Frequency Analysis via Data Augmentation from Micro-CT Images

Improvement of Machine Learning-Based Prediction of Pedicle Screw Stability in Laser Resonance Frequency Analysis via Data Augmentation from Micro-CT Images

To prevent pedicle screw implant failure, a diagnostic technique that allows surgeons to evaluate implant stability easily, quickly, and quantitatively in clinical orthopedic situations is required. This study aimed to predict the insertion torque equivalent to laboratory-level evaluation accuracy....

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Bibliographic Details
Main Authors: Katsuhiro Mikami, Mitsutaka Nemoto, Akihiro Ishinoda, Takeo Nagura, Masaya Nakamura, Morio Matsumoto, Daisuke Nakashima
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Applied Sciences
Subjects:
laser
resonance frequency
vibration
orthopedic implant
pedicle screw
computed tomography
Online Access:https://www.mdpi.com/2076-3417/13/15/9037

Internet

https://www.mdpi.com/2076-3417/13/15/9037

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