Identifying gait subgroups in low back pain patients with artificial intelligence: implications for individualized interventions.

Journal: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Published Date: Jun 12, 2025

Abstract

PURPOSE: The following study aimed to investigate the existence of different gait profiles in patients with low back pain (LBP) and assess their clinical characteristics.

Authors

  • Leonardo Metsavaht
    Instituto Brasil de Tecnologias da Saúde, Rio de Janeiro, Brazil.
  • Felipe F Gonzalez
    Instituto Brasil de Tecnologias da Saúde (IBTS), Rio de Janeiro, Brazil. felipe_gonzalez@rush.edu.
  • Eliane Celina Guadagnin
    Instituto Brasil de Tecnologias da Saúde (IBTS), Rio de Janeiro, Brazil.
  • Dino Samartzis
    Department of Orthopaedic Surgery, Division of Spine Surgery, Rush University Medical Center, Chicago, USA.
  • Jonathan Gustafson
    Rush University Medical Center, Chicago, Illinois, USA.
  • Talissa Oliveira Generoso
    Instituto Brasil de Tecnologias da Saúde (IBTS), Rio de Janeiro, Brazil.
  • Jorge Chahla
    Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, Illinois, U.S.A.. Electronic address: jachahla@msn.com.
  • Marcus Luzo
    Universidade Federal de São Paulo, São Paulo, Brazil.
  • Gustavo Leporace
    Instituto Brasil de Tecnologias da Saúde, Rio de Janeiro, Brazil.

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