Department Dental prosthetics, Faculty of Medicine, University of Nis , Niš , Serbia
Department Dental prosthetics, Clinic of Dental Medicine , Niš , Serbia
Faculty of Mechanical Engineering, University of Nis , Niš , Serbia
Department of Dentistry, Faculty of Medicine, University of Priština - Kosovska Mitrovica , Mitrovica , Kosovo
Department of Preventive Medicine, Faculty of Medicine, University of Priština - Kosovska Mitrovica , Mitrovica , Kosovo
Department Dental prosthetics, Faculty of Medicine , University of Nis , Niš , Serbia
Department Dental prosthetics, Clinic for Dental Medicine , Niš , Serbia
Department Dental prosthetics, Faculty of Medicine, University of Nis , Niš , Serbia
Department Dental prosthetics, Clinic for Dental Medicine , Niš , Serbia
dr.gligorijevicnikola@gmail.com, Faculty of Medicine, University of Nis , Niš , Serbia
dr.gligorijevicnikola@gmail.com, Clinic for Dental Medicine , Niš , Serbia
Department Microbiology and immunology, Faculty of Medicine, University of Nis , Niš , Serbia
Public Health Institute Niš , Niš , Serbia
Narrow Medical Filed Oral Surgery, Faculty of Medicine, University of Nis , Niš , Serbia
Department for Oral Surgery, Clinic for Dental Medicine , Niš , Serbia
The height and width of maxillary front teeth, their mutual ratio-W/H percent (gold standard), their width ratio (golden proportion), the smile width, the buccal corridor, and the marginal gingiva define the smile form. The study examined the characteristics in dental students with complete sets of teeth and used deep learning in dental anthropometry. The study involved 88 people. The central incisor was measured in the subjects’ mouths, while the golden proportion was photometrically established. Clinical examinations assessed smile breadth, buccal corridor visibility, and gingival contour class. With its capacity to represent complex connections in nonlinear and high-dimensional data, the Adaptive neuro-fuzzy inference system (ANFIS) was employed for deep learning analysis. The average length of the central incisor in men amounted to 10.5 mm, whereas the value in women was 10.2 mm. The central incisor length and W/H% were not significantly different between men and women. In the majority of subjects, the existence of the golden proportion regarding the width of the front teeth was established and it was uniform between men and women. When smiling, 8 to 10 of the subjects’ teeth were visible. There was no significant difference in smile width between men and women. A pronounced buccal corridor was present in half of the subjects, without a statistically significant difference between the sexes. The results showed a far more frequent presence of class 1 compared to class 2 gingiva, with no gender-related significant difference. Results of ANFIS analyses represented by Root Mean Square Error (RSME) findings show nonlinear relations between anthropometric parameters. The study found similarities between anthropometric measurements of Serbian subjects and literature findings. Modelling complicated dental anthropometry connections using the ANFIS helps improve knowledge of dental parameter interactions.
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