Frank, Konstantin and Day, Doris and Few, Julius and Chiranjiv, Chhabra and Gold, Michael and Sattler, Sonja and Kerscher, Martina and Knoedler, Leonard and Filippo, Alexandre and Rzany, Berthold and Cotofana, Sebastian and Fabi, Sabrina and Fritz, Klaus and Peng, Peter and Wanitphakdeedecha, Rungsima and Pooth, Rainer and Huang, Patrick (2024) AI assistance in aesthetic medicine-A consensus on objective medical standards. JOURNAL OF COSMETIC DERMATOLOGY, 23 (12). pp. 4110-4115. ISSN 1473-2130, 1473-2165
Full text not available from this repository. (Request a copy)Abstract
BackgroundAesthetic medicine has traditionally relied on clinical scales for the objective assessment of baseline appearance and treatment outcomes. However, the scales focus on limited aesthetic areas mostly and subjective interpretation inherent in these scales can lead to variability, which undermines standardization efforts.ObjectiveThe consensus meeting aimed to establish guidelines for AI application in aesthetic medicine.Materials and MethodsIn February 2024, the AI Consensus Group, comprising international experts in various specialties, convened to deliberate on AI in aesthetic medicine. The methodology included a pre-consensus survey and an iterative consensus process during the meeting.ResultsAI's implementation in Aesthetic Medicine has achieved full consensus for enhancing patient assessment and consultation, ensuring standardized care. AI's role in preventing overcorrection is recognized, alongside the need for validated objective facial assessments. Emphasis is placed on comprehensive facial aesthetic evaluations using indices such as the Facial Aesthetic Index (FAI), Facial Youth Index (FYI), and Skin Quality Index (SQI). These evaluations are to be gender-specific and exclude makeup-covered skin at baseline. Age and gender, as well as patients' ancestral roots, are to be considered integral to the AI assessment process, underlining the move towards personalized, precise treatments.ConclusionThe consensus meeting established that AI will significantly improve aesthetic medicine by standardizing patient assessments and consultations, with a strong endorsement for preventing overcorrection and advocating for validated, objective facial assessments. Utilizing indices such as the FAI, FYI, and SQI allows for gender-specific, age adjusted evaluations and insists on a makeup-free baseline for accuracy.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | aesthetic medicine; artificial intelligence; consensus meeting; medical technology; objective standards |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Zentren des Universitätsklinikums Regensburg > Zentrum für Plastische-, Hand- und Wiederherstellungschirurgie |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 14 Jan 2026 09:49 |
| Last Modified: | 14 Jan 2026 09:49 |
| URI: | https://pred.uni-regensburg.de/id/eprint/64979 |
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