Artificial Intelligence-Powered Craniofacial Photogrammetry Analysis of Pediatric Obstructive Sleep Apnea.
OBJECTIVES To develop an artificial intelligence (AI) system for craniofacial morphology analysis in pediatric obstructive sleep apnea (OSA) using photogrammetry. STUDY DESIGN Prospective, cross-sectional study. SETTING Tertiary medical hospital. METHODS Children aged 3 to 18 years with OSA-related symptoms were...