Evidence map›Paper›PMID 41366109›Full record

ArticleAesthetic plastic surgery2026

Is Asymmetry the New Perfect? Redefining Beauty with Artificial Intelligence.

Eqram Rahman, Parinitha Rao, Karim Sayed, William Richard Webb, Shabnam Sadeghi-Esfahlani, Nanze Yu, Patricia E Garcia, Sotirios Ioannidis, Alexander D Nassif, Wolfgang G Philipp-Dormston and 3 more

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Article in Aesthetic plastic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Observational
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

13 authors.

Eqram RahmanResearch and Innovation Hub, Innovation Aesthetics, London, WC2H 9JQ, UK. Eqram.rahman@gmail.com.ORCID http://orcid.org/0000-0002-8443-8338
Parinitha RaoThe Skin Address, Aesthetic Dermatology Practice, Bangalore, India.
Karim SayedNomi Oslo, Oslo, Norway.
William Richard WebbResearch and Innovation Hub, Innovation Aesthetics, London, WC2H 9JQ, UK.
Shabnam Sadeghi-EsfahlaniMedical Technology Research Centre, Anglia Ruskin University, Chelmsford, Essex, UK.
Nanze YuPeking Union Medical College Hospital, Beijing, China.
Patricia E GarciaPrivate practice in dermatology, Puerto Vallarta, Mexico.
Sotirios IoannidisPlastic Surgery Clinic, 546 21, Thessaloniki, Greece.
Alexander D NassifDepartamento de Pesquisa, Núcleo Nassif-Ensino Médico e Pesquisa, Belo Horizonte, 30411-148, Brazil.
Wolfgang G Philipp-DormstonHautzentrum Koeln, Cologne, Germany.
Greg J GoodmanMonash University Australia, Clayton, Victoria, Australia.
Jean DA CarruthersDepartment of Ophthalmology, University of British Columbia, Vancouver, BC, Canada.
Woffles Tl WuWoffles Wu Aesthetic Surgery and Laser Centre, Camden Medical Centre Singapore, Orchard Boulevard Suite 09-02, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study challenges the traditional dominance of facial symmetry as the gold standard of beauty by exploring facial asymmetry's role in contemporary aesthetics. While symmetry has historically been associated with genetic fitness and attractiveness, evolving societal standards suggest growing recognition of asymmetry as a distinct aesthetic feature. This research aims to investigate whether facial asymmetry can play a positive role in beauty perceptions, especially across different demographic groups, and examines the influence of cultural norms, social media trends, and generational shifts.

methodUsing a dataset of 10,000 facial images, both real-world and synthetic, rated by 200 participants, this study applied machine learning models to quantify facial asymmetry and its relationship to attractiveness. Dlib and OpenCV were used to detect facial landmarks, measuring deviations in the jawline, mouth, and eyes. Multiple regression models and convolutional neural networks (CNNs) were employed to predict attractiveness, incorporating sociocultural variables like cultural norms, social media influence, and generational shifts.

resultsA moderate negative correlation (- 0.31) between facial asymmetry and attractiveness, with stronger sensitivity to jawline asymmetry was found. However, younger generations; Lesbian, Gay, Bisexual, Transgender, Queer/Questioning, Intersex, Asexual, including other diverse sexual and gender identities (LGBTQIA+) participants, and respondents from East Asia had more neutral or positive perceptions of asymmetry. CNN models achieved an R-squared value of 0.68, underscoring the impact of sociocultural factors. A quantum-like mathematical model further illustrated how beauty perceptions shift over time.

conclusionThis study highlights a shift in beauty standards, where asymmetry is gaining recognition, especially among younger generations and underrepresented groups. The findings suggest that the true essence of beauty lies in embracing individuality and redefining attractiveness beyond traditional ideals. LEVEL OF EVIDENCE IV: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Indexed as

Artificial IntelligenceBeautyFacial AsymmetryAdolescentAdultEstheticsFemaleHumansMaleMiddle AgedYoung AdultArtificial intelligenceBeauty standardsBeauty trendsFacial asymmetryFacial symmetryGenerative adversarial networks (GAN)

Identifiers

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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.