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AI-based automatic segmentation of craniomaxillofacial anatomy from CBCT scans for automatic detection of pharyngeal airway evaluations in OSA patients

Abstract This study aims to generate and also validate an automatic detection algorithm for pharyngeal airway on CBCT data using an AI software (Diagnocat) which will procure a measurement method. The second aim is to validate the newly developed artificial intelligence system in comparison to comme...

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Principais autores: Kaan Orhan, Mamat Shamshiev, Matvey Ezhov, Alexander Plaksin, Aida Kurbanova, Gürkan Ünsal, Maxim Gusarev, Maria Golitsyna, Seçil Aksoy, Melis Mısırlı, Finn Rasmussen, Eugene Shumilov, Alex Sanders
פורמט: Artigo
שפה:Inglês
יצא לאור: Nature Portfolio 2022-07-01
סדרה:Scientific Reports
גישה מקוונת:https://doi.org/10.1038/s41598-022-15920-1
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