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. 2024 Dec;23(12):4110-4115.
doi: 10.1111/jocd.16481. Epub 2024 Aug 1.

AI assistance in aesthetic medicine-A consensus on objective medical standards

Konstantin Frank  1 , Doris Day  2 , Julius Few  3 , Chhabra Chiranjiv  4 , Michael Gold  5 , Sonja Sattler  6 , Martina Kerscher  7 , Leonard Knoedler  1 , Alexandre Filippo  8 , Berthold Rzany  9 , Sebastian Cotofana  10 , Sabrina Fabi  11 , Klaus Fritz  12 , Peter Peng  13 , Rungsima Wanitphakdeedecha  14 , Rainer Pooth  15 , Patrick Huang  16
Affiliations

AI assistance in aesthetic medicine-A consensus on objective medical standards

Konstantin Frank et al. J Cosmet Dermatol. 2024 Dec.

Abstract

Background: Aesthetic 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.

Objective: The consensus meeting aimed to establish guidelines for AI application in aesthetic medicine.

Materials and methods: In 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.

Results: AI'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.

Conclusion: The 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.

Keywords: aesthetic medicine; artificial intelligence; consensus meeting; medical technology; objective standards.

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Conflict of interest statement

None of the other authors listed have any commercial associations or financial disclosures that might pose or create a conflict of interest with the methods applied or the results presented in this article.

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