Generative artificial intelligence versus clinicians: Who diagnoses multiple sclerosis faster and with greater accuracy?

Journal: Multiple sclerosis and related disorders
PMID: 39146892

Abstract

BACKGROUND: Those receiving the diagnosis of multiple sclerosis (MS) over the next ten years will predominantly be part of Generation Z (Gen Z). Recent observations within our clinic suggest that younger people with MS utilize online generative artificial intelligence (AI) platforms for personalized medical advice prior to their first visit with a specialist in neuroimmunology. The use of such platforms is anticipated to increase given the technology driven nature, desire for instant communication, and cost-conscious nature of Gen Z. Our objective was to determine if ChatGPT (Generative Pre-trained Transformer) could diagnose MS in individuals earlier than their clinical timeline, and to assess if the accuracy differed based on age, sex, and race/ethnicity.

Authors

  • Mahi A Patel
    The University of Texas Southwestern Medical Center, Department of Neurology, Neuroinnovation Program, Multiple Sclerosis & Neuroimmunology Imaging Program, Dallas, TX, USA; The University of Texas Southwestern Medical Center, Peter O'Donnell Jr. Brain Institute, Dallas, Texas, USA.
  • Francisco Villalobos
    The University of Texas Southwestern Medical Center, Department of Neurology, Neuroinnovation Program, Multiple Sclerosis & Neuroimmunology Imaging Program, Dallas, TX, USA; The University of Texas Southwestern Medical Center, Peter O'Donnell Jr. Brain Institute, Dallas, Texas, USA.
  • Kevin Shan
    The University of Texas Southwestern Medical Center, School of Medicine, Dallas, Texas, USA.
  • Lauren M Tardo
    The University of Texas Southwestern Medical Center, Department of Neurology, Neuroinnovation Program, Multiple Sclerosis & Neuroimmunology Imaging Program, Dallas, TX, USA; The University of Texas Southwestern Medical Center, Peter O'Donnell Jr. Brain Institute, Dallas, Texas, USA.
  • Lindsay A Horton
    The University of Texas Southwestern Medical Center, Department of Neurology, Neuroinnovation Program, Multiple Sclerosis & Neuroimmunology Imaging Program, Dallas, TX, USA; The University of Texas Southwestern Medical Center, Peter O'Donnell Jr. Brain Institute, Dallas, Texas, USA.
  • Peter V Sguigna
    The University of Texas Southwestern Medical Center, Department of Neurology, Neuroinnovation Program, Multiple Sclerosis & Neuroimmunology Imaging Program, Dallas, TX, USA; The University of Texas Southwestern Medical Center, Peter O'Donnell Jr. Brain Institute, Dallas, Texas, USA.
  • Kyle M Blackburn
    The University of Texas Southwestern Medical Center, Department of Neurology, Neuroinnovation Program, Multiple Sclerosis & Neuroimmunology Imaging Program, Dallas, TX, USA; The University of Texas Southwestern Medical Center, Peter O'Donnell Jr. Brain Institute, Dallas, Texas, USA.
  • Shanan B Munoz
    The University of Texas Southwestern Medical Center, Department of Neurology, Neuroinnovation Program, Multiple Sclerosis & Neuroimmunology Imaging Program, Dallas, TX, USA; The University of Texas Southwestern Medical Center, Peter O'Donnell Jr. Brain Institute, Dallas, Texas, USA.
  • Tatum M Moog
    The University of Texas Southwestern Medical Center, Department of Neurology, Neuroinnovation Program, Multiple Sclerosis & Neuroimmunology Imaging Program, Dallas, TX, USA; The University of Texas Southwestern Medical Center, Peter O'Donnell Jr. Brain Institute, Dallas, Texas, USA.
  • Alexander D Smith
    1Carle Illinois College of Medicine, University of Illinois Urbana-Champaign, Champaign; and.
  • Katy W Burgess
    The University of Texas Southwestern Medical Center, Department of Neurology, Neuroinnovation Program, Multiple Sclerosis & Neuroimmunology Imaging Program, Dallas, TX, USA; The University of Texas Southwestern Medical Center, Peter O'Donnell Jr. Brain Institute, Dallas, Texas, USA.
  • Morgan McCreary
    The University of Texas Southwestern Medical Center, Department of Neurology, Neuroinnovation Program, Multiple Sclerosis & Neuroimmunology Imaging Program, Dallas, TX, USA; The University of Texas Southwestern Medical Center, Peter O'Donnell Jr. Brain Institute, Dallas, Texas, USA.
  • Darin T Okuda
    Department of Neurology, Neuroinnovation Program, Multiple Sclerosis and Neuroimmunology Imaging Program, Clinical Center for Multiple Sclerosis, UT Southwestern Medical Center, Dallas, TX, United States.

Keywords

External Resources

Popular Topics
Recent Journals