Artificial Intelligence Assistance for the Measurement of Full Alignment Parameters in Whole-Spine Lateral Radiographs-Reference-Cited by-同舟云学术

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Artificial Intelligence Assistance for the Measurement of Full Alignment Parameters in Whole-Spine Lateral Radiographs

Published:2024-07 Issue: Volume:187 Page:e363-e382
ISSN:1878-8750
Container-title:World Neurosurgery
language:en
Short-container-title:World Neurosurgery

Author:

Landriel Federico^ORCID,Franchi Bruno Cruz,Mosquera Candelaria^ORCID,Lichtenberger Fernando Padilla,Benitez Sonia,Aineseder Martina,Guiroy Alfredo^ORCID,Hem Santiago

Publisher

Elsevier BV

Reference37 articles.

1. International Spine Study Group (ISSG). Artificial intelligence clustering of adult spinal deformity sagittal plane morphology predicts surgical characteristics, alignment, and outcomes;Durand;Eur Spine J,2021

2. Sagittal balance of the spine;Le Huec;Eur Spine J,2019

3. Novel artificial intelligence algorithm: an accurate and independent measure of spinopelvic parameters;Orosz;J Neurosurg Spine,2022

4. Correlation of radiographic parameters and clinical symptoms in adult scoliosis;Glassman;Spine (Phila Pa 1976),2005

5. Radiographical spinopelvic parameters and disability in the setting of adult spinal deformity: a prospective multicenter analysis;Schwab;Spine (Phila Pa 1976),2013

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