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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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Autori principali: 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: Nature Portfolio 2025-07-01
Serie:Scientific Reports
Soggetti:
Synkinesis
Artificial intelligence
AI
Facial palsy
Facial paralysis
Convolutional neural network
Accesso online:https://doi.org/10.1038/s41598-025-08548-4
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