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Artificial Intelligence-Augmented Morphometric Reporting for Standardized Facial Aesthetic Treatment Planning: A Multi-Rater Reliability Study.

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Bibliographic Details
Title: Artificial Intelligence-Augmented Morphometric Reporting for Standardized Facial Aesthetic Treatment Planning: A Multi-Rater Reliability Study.
Authors: Karakoyun Ö; Department of Dermatology and Venereology, Gazi Yaşargil Training and Research Hospital, Diyarbakır, Turkey., Kaya K; Department of Dermatology and Venereology, Istinye University Hospital Medical Park Gaziosmanpaşa, Istanbul, Turkey., Kankılıç AT; Department of Dermatology and Venereology, Ergani State Hospital, Diyarbakır, Turkey., Ecer N; Private Dermatology Practice, Diyarbakır, Turkey.
Source: Journal of cosmetic dermatology [J Cosmet Dermatol] 2026 May; Vol. 25 (5), pp. e70900.
Publication Type: Evaluation Study; Journal Article
Journal Info: Publisher: Blackwell Science Country of Publication: England NLM ID: 101130964 Publication Model: Print Cited Medium: Internet ISSN: 1473-2165 (Electronic) Linking ISSN: 14732130 NLM ISO Abbreviation: J Cosmet Dermatol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1473-2165
DOI:10.1111/jocd.70900