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Year : 2017  |  Volume : 2  |  Issue : 1  |  Page : 18-21

Experience of dental professionals in determination of gender by observing smile

1 Department of Public Health Dentistry, Sharad Pawar Dental College, Wardha, Maharashtra, India
2 Department of Oral Medicine and Radiology, Sharad Pawar Dental College, Wardha, Maharashtra, India

Correspondence Address:
Sourav Sen
Department of Public Health Dentistry, Sharad Pawar Dental College, Wardha, Maharashtra
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/2542-5013.205248

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Introduction: Every individual in his or her entire life has a photograph of smile. This makes identification as well as dead bodies and remains possible with the help of forensic odontology and medicine. Aims and Objective: The aim of this study was to use only smile from photograph for gender identification by various experienced dental specialist. Materials and Methods: In this cross-sectional study, a digital camera (Sony Cyber-shot DSC W800) was used to capture smile photographs, where participants were at a distance of 0.5 m from the lens and they were made to sit in a relax position with the Frankfort plane parallel to the floor. Among 50 captured photographs, 10 photographs were randomly selected, among which 5 males and 5 females, for pictorial questionnaire. Using Adobe Photoshop version 7.0, only teeth were made visible and other soft tissues were cropped so as not to make it a bias study. Results: All 5 dental colleges of Vidarbha region were included, in which 213 staff members participated in the study. Gender-wise distribution depicted 39.9% male and 60.10% female participants with no significance (P = 0.223). According to department-wise also was without any significance (P = 0.823). Now, according to designation wise, it was found that experience plays a vital role. Professor being the most experienced staff when compared with tutors (P = 0.03) and postgraduates (P = 0.015). Professors were most accurate in their opinions comparatively. Conclusion: This study concluded that identification of gender through only smile from photographs can be done with ease by professors due to their years of experience.

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