Can artificial ıntelligence detect the anti-aging effect of rhinoplasty?

Background: The quest for eternal youth has been a common theme in many cultures for centuries. While we have yet to discover a way to preserve youth eternally, we have made significant progress in understanding the aging process and in developing pharmaceuticals, surgical techniques, and technolog...

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Main Authors: Muhammed Zeki Yalçın, Yuksel Toplu, Osman Kurt
Format: Article
Language:English
Published: Medical Journals Sweden 2025-04-01
Series:Journal of Plastic Surgery and Hand Surgery
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Online Access:https://medicaljournalssweden.se/JPHS/article/view/43316
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author Muhammed Zeki Yalçın
Yuksel Toplu
Osman Kurt
author_facet Muhammed Zeki Yalçın
Yuksel Toplu
Osman Kurt
author_sort Muhammed Zeki Yalçın
collection DOAJ
description Background: The quest for eternal youth has been a common theme in many cultures for centuries. While we have yet to discover a way to preserve youth eternally, we have made significant progress in understanding the aging process and in developing pharmaceuticals, surgical techniques, and technologies. In addition to rhinoplasty’s facial beautification effect, we investigated whether it had a facial anti-aging effect using an artificial intelligence (AI)-based program. We also examined the correlation between patient satisfaction and the anti-aging effect of rhinoplasty. Methods: This study included 244 patients who underwent functional septorhinoplasty (FSRP) between January 2018 and August 2020 at Inonu University, Department of Otorhinolaryngology. Preoperative and postoperative photographs in our archive were evaluated using an AI-based age analysis program. In addition, the participants evaluated preoperative and postoperative nose satisfaction with the FACE-Q survey in the postoperative period. Results: One hundred two males (41.8%) and 142 females (58.2%) were included in the study. The mean preoperative age determined by the program was 25.9 ± 6.1, and the mean postoperative age was 25.7 ± 5.8. Despite the mean follow-up period of the patients was 25.3 ± 8.7 months, our study showed no significant difference between the mean preoperative and postoperative ages. The mean general satisfaction of the patients increased postoperatively.  Conclusion: Despite the average follow-up period, the absence of a significant difference between preoperative and postoperative perceived mean age may be interpreted as a possible anti-aging effect of rhinoplasty. This effect was more prominent in older patients and in women.
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spelling doaj-art-4194c4ccf56142f98fa699fe618bd34a2025-08-25T11:15:59ZengMedical Journals SwedenJournal of Plastic Surgery and Hand Surgery2000-67642025-04-0160110.2340/jphs.v60.43316Can artificial ıntelligence detect the anti-aging effect of rhinoplasty?Muhammed Zeki Yalçın0https://orcid.org/0000-0002-4943-4577Yuksel Toplu1Osman Kurt2Department of Otorhinolaryngology and Head and Neck Surgery, Corum Private Hospital, Corum, TurkeyDepartment of Otorhinolaryngology and Head and Neck Surgery, Private Park Hospital, Malatya, TurkeyDepartment of Public Health, Inonu University, Malatya, Turkey Background: The quest for eternal youth has been a common theme in many cultures for centuries. While we have yet to discover a way to preserve youth eternally, we have made significant progress in understanding the aging process and in developing pharmaceuticals, surgical techniques, and technologies. In addition to rhinoplasty’s facial beautification effect, we investigated whether it had a facial anti-aging effect using an artificial intelligence (AI)-based program. We also examined the correlation between patient satisfaction and the anti-aging effect of rhinoplasty. Methods: This study included 244 patients who underwent functional septorhinoplasty (FSRP) between January 2018 and August 2020 at Inonu University, Department of Otorhinolaryngology. Preoperative and postoperative photographs in our archive were evaluated using an AI-based age analysis program. In addition, the participants evaluated preoperative and postoperative nose satisfaction with the FACE-Q survey in the postoperative period. Results: One hundred two males (41.8%) and 142 females (58.2%) were included in the study. The mean preoperative age determined by the program was 25.9 ± 6.1, and the mean postoperative age was 25.7 ± 5.8. Despite the mean follow-up period of the patients was 25.3 ± 8.7 months, our study showed no significant difference between the mean preoperative and postoperative ages. The mean general satisfaction of the patients increased postoperatively.  Conclusion: Despite the average follow-up period, the absence of a significant difference between preoperative and postoperative perceived mean age may be interpreted as a possible anti-aging effect of rhinoplasty. This effect was more prominent in older patients and in women. https://medicaljournalssweden.se/JPHS/article/view/43316Rhinoplastyartificial intelligenceaging
spellingShingle Muhammed Zeki Yalçın
Yuksel Toplu
Osman Kurt
Can artificial ıntelligence detect the anti-aging effect of rhinoplasty?
Journal of Plastic Surgery and Hand Surgery
Rhinoplasty
artificial intelligence
aging
title Can artificial ıntelligence detect the anti-aging effect of rhinoplasty?
title_full Can artificial ıntelligence detect the anti-aging effect of rhinoplasty?
title_fullStr Can artificial ıntelligence detect the anti-aging effect of rhinoplasty?
title_full_unstemmed Can artificial ıntelligence detect the anti-aging effect of rhinoplasty?
title_short Can artificial ıntelligence detect the anti-aging effect of rhinoplasty?
title_sort can artificial intelligence detect the anti aging effect of rhinoplasty
topic Rhinoplasty
artificial intelligence
aging
url https://medicaljournalssweden.se/JPHS/article/view/43316
work_keys_str_mv AT muhammedzekiyalcın canartificialıntelligencedetecttheantiagingeffectofrhinoplasty
AT yukseltoplu canartificialıntelligencedetecttheantiagingeffectofrhinoplasty
AT osmankurt canartificialıntelligencedetecttheantiagingeffectofrhinoplasty