Akademik Veri Yönetim Sistemi
Bezmialem Science, cilt.9, sa.S2, ss.20, 2021 (Hakemli Dergi)
Introduction: The most common desire for rhinoplasty is to obtain a more aesthetic appearance. It has been stated that after the operation, the person looks younger than before. Our patients had wide-open dorsal-approach septorhinoplasty (WODAR) because of their droopy noses. Face-based age estimation can be defined as estimating the age of a person by evaluating facial biometric properties. Also, in the age estimation, the nose is one of the most informative components of the face. This study aimed whether rhinoplastic interventions might affect the visual age and therefore the age estimation.
Method: The study included 12 patients who had applied to the Otorhinolaryngology Department of Bezmialem Vakif University between 2011 and 2019 and undergone WODAR. Using a face recognition software, preoperative-postoperative age estimations were determined and compared. Five rhinoplasty surgeons were asked to make an age estimation looking at preoperative-postoperative photos of these patients. Estimations by examining preoperative-postoperative photos by physicians were held 3 weeks apart.
Results: For artificial intelligence (A.I.), the preoperative estimated age (p=0.002) and the postoperative estimated age were significantly correlated with the actual age (p=0.005). For human eye, the preoperative estimated age (p=0.002) and the postoperative estimated age were significantly correlated with the actual age.
Conclusion: Our findings showed that both A.I. and human eye were successful in estimating the actual preoperative and postoperative ages of patients. The A.I. is as accurate as human eye in estimating the preoperative and postoperative ages. Postoperative estimated age was not significantly younger than the preoperative estimated age.
Key words: Age estimation, rhinoplasty, facial recognition, artificial intelligence, nose