ArticleThe Journal of clinical and aesthetic dermatology2025
What Does it Mean to Be Beautiful? Exploring the Limits of AI-Driven Beauty Assessment.
Article in The Journal of clinical and aesthetic dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- ChatGPT-5 Matches Surgeon-Level Assessment of Facelift Candidacy: A Pilot Proof-of-Concept Study.Aesthetic plastic surgery · 2026Observational
- Assessing ChatGPT-4o's Image Generation for Educational Infographics in Plastic Surgery: A Pilot Study.Aesthetic plastic surgery · 2026Article
- Beauty, Bias, and Beyond: The Role of Artificial Intelligence in Aesthetic Medicine.Journal of cosmetic dermatology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper examines the multifaceted nature of beauty, encompassing evolutionary, biological, neurological, cultural, and individual factors. It explores the limitations of objective assessments, such as artificial intelligence (AI) algorithms like the Facial Aesthetic Index and Facial Youthfulness Index, which often fail to capture the diversity of individual preferences and cultural standards. While AI tools can provide valuable insights into facial features, their use in aesthetic medicine should be approached with caution, recognizing the importance of subjective perceptions. We emphasize the need for a collaborative approach that integrates AI insights with clinical expertise and patient involvement to achieve personalized and satisfying outcomes in aesthetic medicine. Ultimately, beauty is a complex and subjective experience that cannot be fully defined or assessed objectively, and successful aesthetic interventions require a holistic approach that values both objective data and individual perspectives.
Indexed as
Identifiers
40256342PMC12007659What OpenQuestion holds
Registered trials
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.