Evidence map›Paper›PMID 39091136›Full record

ArticleJournal of cosmetic dermatology2024

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

Konstantin Frank, Doris Day, Julius Few, Chhabra Chiranjiv, Michael Gold, Sonja Sattler, Martina Kerscher, Leonard Knoedler, Alexandre Filippo, Berthold Rzany and 7 more

Abstract readConsensus Statement
In one paragraph

Article in Journal of cosmetic dermatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Assessment of Methods and Attributes Used to Characterize Skin Quality: A Systematic Literature Review.Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.] · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Konstantin FrankDepartment of Plastic, Hand and Reconstructive Surgery, University Hospital Regensburg, Regensburg, Germany.ORCID https://orcid.org/0000-0001-6994-8877
Doris DayNew York University Langone Health Medical Centers, New York, New York, USA.
Julius FewUniversity of Chicago Pritzker School of Medicine, Chicago, Illinois, USA.
Chhabra ChiranjivSkin Alive Clinics, New Delhi, India.
Michael GoldGold Skin Care Center, Tennessee Clinical Research Center, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0002-5183-5433
Sonja SattlerRosenpark Klinik, Darmstadt, Germany.
Martina KerscherDepartment of Chemistry, Division of Cosmetic Sciences, University of Hamburg, Hamburg, Germany.
Leonard KnoedlerDepartment of Plastic, Hand and Reconstructive Surgery, University Hospital Regensburg, Regensburg, Germany.
Alexandre FilippoInstituto de Dermatologia Prof. Rubem David Azulay, Rio de Janeiro, Brazil.
Berthold RzanyMedizin am Hauptbahnhof, Wien, Austria and Hautarzt Friedenau, Berlin, Germany.
Sebastian CotofanaDepartment of Dermatology, Erasmus Medical Centre, Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0001-7210-6566
Sabrina FabiUniversity of California San Diego, San Diego, California, USA.
Klaus FritzDermatology and Laser Center, Landau in der Pfalz, Germany.ORCID https://orcid.org/0000-0001-6225-4653
Peter PengP-Skin Professional Clinic, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-5381-7167
Rungsima WanitphakdeedechaDepartment of Dermatology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Rainer PoothClinical Research and Development, ICA Aesthetic Navigation GmbH, Frankfurt, Germany.
Patrick HuangHuang PH Dermatology and Aesthetics, Taipei, Taiwan.ORCID https://orcid.org/0000-0003-0328-8284

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Artificial IntelligenceEstheticsConsensusCosmetic TechniquesFaceFemaleHumansMaleSkin Agingaesthetic medicineartificial intelligenceconsensus meetingmedical technologyobjective standards

Identifiers

PMID39091136
PMCPMC11626373

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.