APA (7th ed.) Citation

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, 14, e21289. https://doi.org/10.7717/peerj.21289

Chicago Style (17th ed.) Citation

NH, Al-Rawi, Elsayed W, Al-Bayati SF, Saeed MH, Abdul Qader OAJ, Shetty S, and Uthman A. "Artificial Intelligence Applications in CBCT-based Assessment of Craniofacial Airway Volume and Shape in Sleep-disordered Breathing: A Systematic Review." PeerJ 14 (2026): e21289. https://doi.org/10.7717/peerj.21289.

MLA (9th ed.) Citation

NH, Al-Rawi, et al. "Artificial Intelligence Applications in CBCT-based Assessment of Craniofacial Airway Volume and Shape in Sleep-disordered Breathing: A Systematic Review." PeerJ, vol. 14, 2026, p. e21289, https://doi.org/10.7717/peerj.21289.