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

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dc.contributor.authorYalcin, Muhammed Zeki
dc.contributor.authorToplu, Yuksel
dc.contributor.authorKurt, Osman
dc.date.accessioned2026-04-04T13:32:56Z
dc.date.available2026-04-04T13:32:56Z
dc.date.issued2025
dc.departmentİnönü Üniversitesi
dc.description.abstractBackground: 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 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.
dc.identifier.doi10.2340/jphs.v60.43316
dc.identifier.endpage90
dc.identifier.issn2000-656X
dc.identifier.issn2000-6764
dc.identifier.orcid0000-0002-4943-4577
dc.identifier.orcid0000-0003-4164-3611
dc.identifier.pmid40176775
dc.identifier.scopus2-s2.0-105002780930
dc.identifier.scopusqualityQ2
dc.identifier.startpage84
dc.identifier.urihttps://doi.org/10.2340/jphs.v60.43316
dc.identifier.urihttps://hdl.handle.net/11616/108783
dc.identifier.volume60
dc.identifier.wosWOS:001465113700004
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherMedical Journal Sweden Ab
dc.relation.ispartofJournal of Plastic Surgery and Hand Surgery
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250329
dc.subjectRhinoplasty
dc.subjectartificial intelligence
dc.subjectaging
dc.titleCan artificial ıntelligence detect the anti-aging effect of rhinoplasty?
dc.typeArticle

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