Diagnosing facial synkinesis using artificial intelligence to advance facial palsy care

Diagnosing facial synkinesis using artificial intelligence to advance facial palsy care

Abstract Facial palsy (FP) can lead to significant psychological and physical burdens such as facial synkinesis. This involuntary simultaneous movement of facial musculature remains challenging to diagnose and treat. This study aimed to develop a cost-effective, rapid, and accurate artificial intell...

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Bibliographic Details
Main Authors: Leonard Knoedler, Christian Festbaum, Jillian Dean, Helena Baecher, Grégoire de Lambertye, Maximilian Maul, Thomas Schaschinger, Tobias Niederegger, Alexandra Scheiflinger, Michael Alfertshofer, Khalil Sherwani, Claudius Steffen, Max Heiland, Steffen Koerdt, Samuel Knoedler, Andreas Kehrer
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Synkinesis
Artificial intelligence
AI
Facial palsy
Facial paralysis
Convolutional neural network
Online Access:https://doi.org/10.1038/s41598-025-08548-4
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