Evaluating the Effectiveness of Transtibial Prosthetic Socket Shape Design Using Artificial Intelligence: A Clinical Comparison With Traditional Plaster Cast Socket Designs.

Journal: Archives of physical medicine and rehabilitation
PMID: 39304077

Abstract

OBJECTIVE: To investigate the feasibility of creating an artificial intelligence (AI) algorithm to enhance prosthetic socket shapes for transtibial prostheses, aiming for a less operator-dependent, standardized approach.

Authors

  • Merel van der Stelt
    3D Lab Radboudumc, Radboud University Medical Center, Nijmegen, The Netherlands. Electronic address: merel.vanderstelt@radboudumc.nl.
  • Bo Berends
    Department of Oral and Maxillofacial Surgery, Radboud University Nijmegen Medical Centre, P.O. Box 9101, Postal number 590, Nijmegen, HB 6500, The Netherlands; Radboudumc 3DLab, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.
  • Marco Papenburg
    Papenburg Orthopedics, Ravenstein, The Netherlands.
  • Tom Langenhuyzen
    OIM Orthopedie, Assen, The Netherlands.
  • Thomas Maal
    Department of Oral and Maxillofacial Surgery, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.
  • Lars Brouwers
    Department of Surgery, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Guido de Jong
    Department of Neurosurgery, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.
  • Ruud Leijendekkers
    Department of Rehabilitation, Radboud University Medical Center, Nijmegen, The Netherlands; Radboud Institute for Health Sciences, IQ Healthcare, Radboud University Medical Center, Nijmegen, The Netherlands.

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