Title
Mandibular incisors angulation and position among various vertical facial patterns: An artificial intelligence-based cephalometric study
Authors
Nada Mohammed Aloufi, Faris Saleh AlQazlan & Ahmed Ali Alfawzan*
Affiliation
Department of Orthodontic and Pediatric Dentistry, College of Dentistry, Qassim University, Kingdom of Saudi Arabia; *Corresponding author
Nada Mohammed Aloufi - E - mail: Na.Aloufi@qu.edu.sa; Phone: +966 555944204
Faris Saleh AlQazlan - E - mail: 391108681@qu.edu.sa; Phone: +966 536244163 Ahmed Ali Alfawzan - E - mail: ah.alfawzan@qu.edu.sa; Phone: +966 553936688
Article Type
Research Article
Date
Received February 1, 2025; Revised February 28, 2025; Accepted February 28, 2025, Published February 28, 2025
Abstract
The position and inclination of the mandibular incisors are critical factors in orthodontic diagnosis, treatment and retention. Therefore, it is of interest to evaluate the position and angulation of mandibular incisors across various vertical growth patterns. One hundred and three cephalograms from untreated patients were analyzed using the artificial intelligence-based Webceph software. The mandibular incisor position and angulation of the vertical group exhibited the highest values, while the horizontal group demonstrated the lowest values. Thus, mandibular incisors exhibit greater proclination and protrusion in the vertical pattern group, while displaying increased retroclination and retrusion in the horizontal pattern group.
Keywords
Artificial intelligence, mandibular incisors, facial patterns
Citation
Aloufi et al. Bioinformation 21(2): 113-115 (2025)
Edited by
P Babaji
ISSN
0973-2063
Publisher
License
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
