Application of machine learning in the diagnosis of axial spondyloarthritis.

Journal: Current opinion in rheumatology
Published Date: Jul 1, 2019

Abstract

PURPOSE OF REVIEW: In this review article, we describe the development and application of machine-learning models in the field of rheumatology to improve the detection and diagnosis rates of underdiagnosed rheumatologic conditions, such as ankylosing spondylitis and axial spondyloarthritis (axSpA).

Authors

  • Jessica A Walsh
    University of Utah School of Medicine, Salt Lake City, Utah.
  • Martin Rozycki
    Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia.
  • Esther Yi
    Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California.
  • Yujin Park
    Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA.

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