Artificial intelligence is a field of computer science dedicated to the development of computer algorithms to perform tasks traditionally associated with human intelligence such as the ability to learn and solve problems. 1 This includes machine learning (ML), representational learning and deep learning. 2 Many researchers are currently interested in artificial intelligence, which has been used extensively in a wide range of industries recently. This trend also applies to the dental industry, and applications of artificial intelligence in the field of oral
Objective: This study aimed to examine the morphological characteristics of the nasopharynx in unilateral Cleft lip/palate (CL/P) children and non-cleft children using cone beam computed tomography (CBCT). Methods: A retrospective study consisted of 54 patients, of which 27 patients were unilateral CL/P, remaining 27 patients have no CL/P. Eustachian tubes orifice (ET), Rosenmuller fossa (RF) depth, presence of pharyngeal bursa (PB), the distance of posterior nasal spine (PNS)-pharynx posterior wall were quantitatively evaluated. Results: The main effect of the CL/P groups was found to be effective on RF depth-right ( p < 0.001) and RF depth-left ( p < 0.001). The interaction effect of gender and CL/P groups was not influential on measurements. The cleft-side main effect was found to be effective on RF depth-left ( p < 0.001) and RF depth-right ( p = 0002). There was no statistically significant relationship between CL/P groups and the presence of bursa pharyngea. Conclusions: Because it is the most common site of nasopharyngeal carcinoma (NPC), the anatomy of the nasopharynx should be well known in the early diagnosis of NPC.
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