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April 3, 2026Muscle & Nerve0 citationsOpen Access

Development and Validation of a Deep Learning‐Based Facial Weakness Score for Objective Assessment in Facioscapulohumeral Muscular Dystrophy

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TLT. G. J. LoonenTHT. C. ten HarkelSVS. C. C. Vincenten

Key Points

  • To develop and validate a deep learning tool for objectively measuring facial weakness in FSHD patients.
  • Developed a facial weakness scoring system using deep learning techniques.
  • Validated the scoring system against clinical assessments.
  • Assessed reliability and consistency of the tool in various settings.
  • The deep learning facial weakness score (DLFWS) demonstrated high reliability.
  • Scores matched well with traditional clinical assessments.
  • The tool can be applied in both clinical practice and research settings.

Abstract

The DLFWS provides a reliable and objective assessment of facial weakness in FSHD patients. This automated tool holds potential for widespread clinical and research applications, enabling standardized assessment of facial weakness in FSHD.

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Cite This Study

Loonen et al. (2026) studied this question.

synapsesocial.com/papers/69cf5ecb5a333a821460d6e4https://doi.org/10.1002/mus.70228
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