Assessing facial weakness in myasthenia gravis with facial recognition software and deep learning.

Journal: Annals of clinical and translational neurology
PMID: 37292032

Abstract

OBJECTIVE: Myasthenia gravis (MG) is an autoimmune disease leading to fatigable muscle weakness. Extra-ocular and bulbar muscles are most commonly affected. We aimed to investigate whether facial weakness can be quantified automatically and used for diagnosis and disease monitoring.

Authors

  • Annabel M Ruiter
    Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands.
  • Ziqi Wang
    The Center for Ion Beam Bioengineering & Green Agriculture, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui, China.
  • Zhao Yin
    Vision Lab, Delft University of Technology, Delft, the Netherlands.
  • Willemijn C Naber
    Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands.
  • Jerrel Simons
    Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands.
  • Jurre T Blom
    Medical Illustrator at www.jurreblom.nl, Apeldoorn, the Netherlands.
  • Jan C van Gemert
    Vision Lab, Delft University of Technology, Delft, the Netherlands.
  • Jan J G M Verschuuren
    Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands.
  • Martijn R Tannemaat
    Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands.

Keywords

External Resources

Popular Topics
Recent Journals