Health AI Central
Peer-Reviewed Publication
Laryngoscope2026August 26, 2026Journal Article

Human Evaluation of Synthetic Videostroboscopic Laryngeal Images Generated Using StyleGAN3.

Danielle A Morrison1, Abhinita S Mohanty2, Lucian Sulica1, Pegah Khosravi3, Anaïs Rameau1
1Department of Otolaryngology-Head and Neck Surgery, Sean Parker Institute for the Voice, Weill Cornell Medicine, New York, New York, USA.
2Center for Computational and Integrative Biology, Department of Computer Science, Rutgers University Camden, Camden, New Jersey, USA.
3Department of Clinical Sciences, Institute for Artificial Intelligence, University of Central Florida, Orlando, Florida, USA.
PubMed DOI

Abstract

OBJECTIVE: To evaluate the perceptual realism of synthetic videostroboscopic laryngeal images and determine the relationship between training duration and clinician classification accuracy. METHODS: Synthetic images were generated using StyleGAN3 from two age-stratified datasets: Dataset A (≥ 65 years) and Dataset B (< 65 years). A total of 114 clinicians evaluated a randomized, balanced-controll…

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