Artificial Intelligence-Derived Emotionality State Score Correlates with Layperson Assessment and Objective Measurements in Facial Paralysis

The AI-derived emotionality recognition approach holds great promise for both automating layperson assessments and contributing to the objective evaluation of facial reanimation outcomes. Future studies should focus on training the AI on patients with FP and multicenter validation studies.

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Publication Details

Journal
Plastic & Reconstructive Surgery
Published
2026-03-26
DOI
https://doi.org/10.1097/prs.0000000000013072
Primary Topic
Facial Nerve Paralysis Treatment and Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence-Derived Emotionality State Score Correlates with Layperson Assessment and Objective Measurements in Facial Paralysis

Mark Fricke, Nico Leibig, Steffen U. Eisenhardt, Jakob B. W. Weiss et al.
Plastic & Reconstructive Surgery
Facial Nerve Paralysis Treatment and Research
article

Artificial Intelligence-Derived Emotionality State Score Correlates with Layperson Assessment and Objective Measurements in Facial Paralysis

Mark Fricke, Nico Leibig, Steffen U. Eisenhardt, Jakob B. W. Weiss, Nicolas Ederer, Branislav Kollar
article en

Abstract

The AI-derived emotionality recognition approach holds great promise for both automating layperson assessments and contributing to the objective evaluation of facial reanimation outcomes. Future studies should focus on training the AI on patients with FP and multicenter validation studies.

Plastic & Reconstructive Surgery
University Medical Center Freiburg (DE)
Openalex Percentile: Top 13%
Facial Nerve Paralysis Treatment and Research
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