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

Journal: World neurosurgery
PMID: 38649028

Abstract

BACKGROUND: Measuring spinal alignment with radiological parameters is essential in patients with spinal conditions likely to be treated surgically. These evaluations are not usually included in the radiological report. As a result, spinal surgeons commonly perform the measurement, which is time-consuming and subject to errors. We aim to develop a fully automated artificial intelligence (AI) tool to assist in measuring alignment parameters in whole-spine lateral radiograph (WSL X-rays).

Authors

  • Federico Landriel
    Neurosurgical Department, Spine Unit, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina. Electronic address: federico.landriel@hospitalitaliano.org.ar.
  • Bruno Cruz Franchi
    Health Informatic Department, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
  • Candelaria Mosquera
    Health Informatics Department, Hospital Italiano de Buenos Aires, Juan Domingo Perón 4190, Ciudad Autónoma de Buenos Aires C1199AAB, Argentina; Universidad Tecnológica Nacional, Av. Medrano 951, Ciudad Autónoma de Buenos Aires C1179AAQ, Argentina. Electronic address: candelaria.mosquera@hospitalitaliano.org.ar.
  • Fernando Padilla Lichtenberger
    Neurosurgical Department, Spine Unit, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
  • Sonia Benitez
    Health Informatics Department, Hospital Italiano de Buenos Aires, Argentina.
  • Martina Aineseder
    Radiology Department, Hospital Italiano de Buenos Aires, Argentina.
  • Alfredo Guiroy
    Spine Unit, Clínica de Cuyo, Mendoza, Argentina.
  • Santiago Hem
    Neurosurgical Department, Spine Unit, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.

Keywords

External Resources

Popular Topics
Recent Journals