Studies
Primary studies
26,293 studies included by 1,022 non-Cochrane dental reviews extracted from full text, one record per study, so a study included by several reviews is counted once. Most are randomized trials; etiology and diagnostic reviews also include observational and accuracy studies. Cochrane reviews and reviews with only their headline outcomes do not list their included studies here yet.
ReviewStudies included by Efficacy of Automatic 3D Segmentation of the Upper Airway in CBCT or CT Scans via Artificial Intelligence Versus Manual Segmentation by…. Show all studies
| Study | Year | Reviews | Review outcomes linked | Trial data |
|---|---|---|---|---|
| Accuracy of deep learning-based upper airway segmentation. Süküt 2025 · Süküt Yağızalp, Yurdakurban Ebru, et al. · Journal of stomatology, oral and maxillofacial surgery PMID:39244033 | 2025 | 1 | 3 | not extracted yet |
| Automatic three-dimensional nasal and pharyngeal airway subregions identification via Vision Transformer. Jin 2023 · Jin Suhan, Han Haojie, et al. · Journal of dentistry PMID:37343616 | 2023 | 1 | 4 | not extracted yet |
| Deep Learning Models for Automatic Upper Airway Segmentation and Minimum Cross-Sectional Area Localisation in Two-Dimensional Images. Chu 2023 · Chu Guang, Zhang Rongzhao, et al. · Bioengineering (Basel, Switzerland) PMID:37627800 | 2023 | 1 | none stated | not extracted yet |
| Accuracy of convolutional neural networks-based automatic segmentation of pharyngeal airway sections according to craniofacial skeletal pattern. Cho 2022 · Cho Ha-Nul, Gwon Eunseo, et al. · American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics PMID:35654686 | 2022 | 1 | 3 | not extracted yet |
| AI-based automatic segmentation of craniomaxillofacial anatomy from CBCT scans for automatic detection of pharyngeal airway evaluations in OSA… Orhan 2022 · Orhan Kaan, Shamshiev Mamat, et al. · Scientific reports PMID:35831451 | 2022 | 1 | none stated | not extracted yet |
| Deep Learning Based Airway Segmentation Using Key Point Prediction Park 2021 · Park Jinyoung, Hwang JaeJoon, et al. · Applied Sciences DOI:10.3390/app11083501 | 2021 | 1 | none stated | not extracted yet |
| A deep learning algorithm proposal to automatic pharyngeal airway detection and segmentation on CBCT images. Sin 2021 · Sin Çağla, Akkaya Nurullah, et al. · Orthodontics & craniofacial research PMID:33619828 | 2021 | 1 | none stated | not extracted yet |
| Fully automatic segmentation of sinonasal cavity and pharyngeal airway based on convolutional neural networks. Leonardi 2021 · Leonardi Rosalia, Lo Giudice Antonino, et al. · American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics PMID:34059213 | 2021 | 1 | 1 | not extracted yet |
| Automatic segmentation of the pharyngeal airway space with convolutional neural network. Shujaat 2021 · Shujaat Sohaib, Jazil Omid, et al. · Journal of dentistry PMID:34077802 | 2021 | 1 | 4 | not extracted yet |
| New algorithm for semiautomatic segmentation of nasal cavity and pharyngeal airway in comparison with manual segmentation using cone-beam computed… Alsufyani 2016 · Alsufyani Noura A, Hess Andy, et al. · American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics PMID:27692428 | 2016 | 1 | 1 | not extracted yet |