ArticleAesthetic surgery journal. Open forum2023
Artificial Intelligence in Surgical Evaluation: A Study of Facial Rejuvenation Techniques.
Article in Aesthetic surgery journal. Open forum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- The Impact of Artificial Intelligence on Facial Aesthetic Surgery: A Systematic Review.Aesthetic surgery journal. Open forum · 2026Review
- AI-Driven Assessment of Lip Volume Improvement Using Hyaluronic Acid Fillers: A Comprehensive Analysis.Aesthetic plastic surgery · 2025Article
- Impact of orthognathic surgery on emotional expression and smile aesthetics in Chinese patients as measured by FaceReader: a before-and-after study.Archives of craniofacial surgery · 2025Article
- Personalized Research on the Aging Face-A Narrative History.Journal of personalized medicine · 2024Review
- Using Artificial Intelligence to Quantify Sexual Dimorphism in Aesthetic Faces: Analysis of 100 Facial Points in 42 Caucasian Celebrities.Aesthetic surgery journal. Open forum · 2023Article
- Commentary on: Artificial Intelligence in Surgical Evaluation: A Study of Facial Rejuvenation Techniques.Aesthetic surgery journal. Open forum · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Aesthetic facial surgeries historically rely on subjective analysis in determining success; this limits objective comparison of surgical outcomes. Objectives: This case study exemplifies the use of an artificial intelligence software on objectively analyzing facial rejuvenation techniques with the aim of reducing subjective bias. Methods: Retrospectively, all patients who underwent facial rejuvenation surgery with concomitant procedures from 2015 to 2017 were included ( Results: Postoperatively, Group A experienced a decrease in happiness by 0.84% and a decrease in anger by 6.87% ( Conclusions: This study provides the first proof of concept for the use of a machine learning software application to objectively assess various aesthetic surgical outcomes in facial rejuvenation. Due to limitations in patient heterogeneity, this study does not claim one technique's superiority but serves as a conceptual foundation for future investigation. Level of Evidence 4:
Identifiers
What 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.