ArticleJournal of clinical medicine2023
Using Generative Artificial Intelligence Tools in Cosmetic Surgery: A Study on Rhinoplasty, Facelifts, and Blepharoplasty Procedures.
Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed.
- The Performance of ChatGPT-4o and DeepSeek-R1 in Interpreting Thyroid Nodule Ultrasound Text Reports: Multicenter Study.Journal of medical Internet research · 2026Article
- Accuracy of Descriptive and Illustrative Capacity of Generative Artificial Intelligence in Aesthetic Surgery: A Study of Accelerated Facial Aging in Depressed Medical Residents.Aesthetic plastic surgery · 2026Article
- Bias, representation, and clinical fidelity in AI-generated images for medical education: a systematic literature review.NPJ digital medicine · 2026Article
- Evaluating GPT-4 Responses on Scars or Keloids for Patient Education: Large Language Model Evaluation Study.JMIR medical informatics · 2026Article
- Generative Artificial Intelligence for Medical Image Creation in Health Professions Education: a Scoping Review.Journal of medical systems · 2026Article
- Artificial Intelligence in Plastic Surgery: A Bibliometric and Visual Analysis of the 100 Most-Cited English-Language Publications.Aesthetic surgery journal. Open forum · 2026Review
- Artificial Intelligence Beauty Filters and Aesthetic Surgery: Insights from TikTok's Bold Glamour Filter.Plastic and reconstructive surgery. Global open · 2025Article
- Medical laser hair removal: a new rotational approach.Lasers in medical science · 2025Article
- Developing an artificial intelligence-based progressive growing GAN for high-quality facial profile generation and evaluation through turing test and aesthetic analysis.Scientific reports · 2025Article
- Management of Dupuytren's Disease: A Multi-Centric Comparative Analysis Between Experienced Hand Surgeons Versus Artificial Intelligence.Diagnostics (Basel, Switzerland) · 2025Article
- The Effect of Drains and Compressive Garments Versus Progressive Tensioning Sutures on Seroma Formation in Abdominoplasty: A New Perspective for Abdominoplasty Procedure?Aesthetic plastic surgery · 2025Article
- The current landscape of artificial intelligence in oral and maxillofacial surgery- a narrative review.Oral and maxillofacial surgery · 2025Review
- Enhancing patient education in breast surgery: artificial intelligence-powered guidance for mastopexy, augmentation, reduction, and reconstruction.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2025Article
- Beyond the Algorithm: A Perspective on Tackling Bias and Cultural Sensitivity in AI-Guided Aesthetic Standards for Cosmetic Surgery in the Middle East and North Africa (MENA) Region.Clinical, cosmetic and investigational dermatology · 2025Article
- Role of Artificial Intelligence in Determining Ideal Nasal Tip Projection in Diverse Populations.Plastic and reconstructive surgery. Global open · 2024Article
- Can AI Answer My Questions? Utilizing Artificial Intelligence in the Perioperative Assessment for Abdominoplasty Patients.Aesthetic plastic surgery · 2024Article
- Artificial intelligence in plastic surgery: Implications and limitations of text-to-image models for clinical practice.JPRAS open · 2024Article
- Evaluating Large Language Model (LLM) Performance on Established Breast Classification Systems.Diagnostics (Basel, Switzerland) · 2024Article
- Enhancing Hand Fracture Care: A Prospective Study of Artificial Intelligence Application With ChatGPT.Journal of hand surgery global online · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI), notably Generative Adversarial Networks, has the potential to transform medical and patient education. Leveraging GANs in medical fields, especially cosmetic surgery, provides a plethora of benefits, including upholding patient confidentiality, ensuring broad exposure to diverse patient scenarios, and democratizing medical education. This study investigated the capacity of AI models, DALL-E 2, Midjourney, and Blue Willow, to generate realistic images pertinent to cosmetic surgery. We combined the generative powers of ChatGPT-4 and Google's BARD with these GANs to produce images of various noses, faces, and eyelids. Four board-certified plastic surgeons evaluated the generated images, eliminating the need for real patient photographs. Notably, generated images predominantly showcased female faces with lighter skin tones, lacking representation of males, older women, and those with a body mass index above 20. The integration of AI in cosmetic surgery offers enhanced patient education and training but demands careful and ethical incorporation to ensure comprehensive representation and uphold medical standards.
Indexed as
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.