Artificial intelligence applications in CBCT-based assessment of craniofacial airway volume and shape in sleep-disordered breathing: a systematic review.

Al-Rawi NH, Elsayed W, Al-Bayati SF, Saeed MH, Abdul Qader OAJ, Shetty S, Uthman A.

Open source

DOI
10.7717/peerj.21289
Published
2026-06-17
Container
PeerJ
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.7717/peerj.21289,
  title = {Artificial intelligence applications in CBCT-based assessment of craniofacial airway volume and shape in sleep-disordered breathing: a systematic review.},
  author = {Al-Rawi NH and  Elsayed W and  Al-Bayati SF and  Saeed MH and  Abdul Qader OAJ and  Shetty S and  Uthman A.},
  year = {2026},
  journal = {PeerJ},
  doi = {10.7717/peerj.21289},
  url = {https://doi.org/10.7717/peerj.21289}
}

RIS

TY  - JOUR
TI  - Artificial intelligence applications in CBCT-based assessment of craniofacial airway volume and shape in sleep-disordered breathing: a systematic review.
AU  - Al-Rawi NH
AU  -  Elsayed W
AU  -  Al-Bayati SF
AU  -  Saeed MH
AU  -  Abdul Qader OAJ
AU  -  Shetty S
AU  -  Uthman A.
PY  - 2026
JO  - PeerJ
DO  - 10.7717/peerj.21289
UR  - https://doi.org/10.7717/peerj.21289
ER  - 

APA

NH, A., W, E., SF, A., MH, S., OAJ, A. Q., S, S., & A., U. (2026). Artificial intelligence applications in CBCT-based assessment of craniofacial airway volume and shape in sleep-disordered breathing: a systematic review.. PeerJ. https://doi.org/10.7717/peerj.21289

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