Evidence map›Paper›PMID 42075506›Full record

ReviewMedicina (Kaunas, Lithuania)2026

Artificial Intelligence and Esthetics: Redefining Precision and Beauty in Plastic Surgery.

Dinu Iuliu Dumitrascu, Stefan Lucian Popa, Victor Incze, Darius-Stefan Amarie, Leo Gaspari, Paul Aluas, Abdulrahman Ismaiel, Daniel Corneliu Leucuta, Liliana David, Florin Vasile Mihaileanu and 3 more

Abstract readReview
In one paragraph

Review in Medicina (Kaunas, Lithuania), 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. Article
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.

Dinu Iuliu DumitrascuDepartment of Anatomy, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400000 Cluj-Napoca, Romania.
Stefan Lucian Popa2nd Medical Department, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400000 Cluj-Napoca, Romania.ORCID 0000-0002-5508-2598
Victor InczeFaculty of Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400000 Cluj-Napoca, Romania.ORCID 0009-0004-4418-6465
Darius-Stefan AmarieFaculty of Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400000 Cluj-Napoca, Romania.ORCID 0009-0003-8382-0919
Leo GaspariFaculty of Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400000 Cluj-Napoca, Romania.ORCID 0009-0004-9788-6131
Paul AluasFaculty of Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400000 Cluj-Napoca, Romania.
Abdulrahman Ismaiel2nd Medical Department, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400000 Cluj-Napoca, Romania.ORCID 0000-0001-7435-271X
Daniel Corneliu LeucutaDepartment of Medical Informatics and Biostatistics, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400349 Cluj-Napoca, Romania.ORCID 0000-0003-4218-8622
Liliana David2nd Medical Department, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400000 Cluj-Napoca, Romania.ORCID 0000-0001-5442-3138
Florin Vasile MihaileanuDepartment of Surgery, Emergency County Hospital Cluj, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania.
Claudia Diana GhermanDepartment of Surgery-Practical Abilities, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania.
Vlad Dumitru BrataDepartment of Gastroenterology, Regional Institute of Gastroenterology and Hepatology "Prof. Dr. Octavian Fodor", 400394 Cluj-Napoca, Romania.ORCID 0000-0002-0007-8962
Irina Dora MagureanDepartment Photo-Video, University of Arts and Design, 400148 Cluj-Napoca, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) is increasingly reshaping esthetic and reconstructive plastic surgery by improving measurement accuracy, treatment planning, and prediction of surgical outcomes. This article provides a scientific overview of current AI applications, including automated image analysis, machine-learning-based outcome forecasting, and generative models for preoperative simulation. AI-driven three-dimensional morphometrics allow precise, reproducible quantification of facial and body structures, supporting more objective assessments of symmetry, proportion, and contour. Predictive algorithms trained on large clinical datasets can estimate postoperative results and complication risks with higher consistency than traditional subjective evaluation. Intraoperative AI tools, such as real-time image guidance and robotic assistance, show potential to increase procedural precision and reduce variability. Despite these advances, important limitations persist. Algorithmic bias, restricted data diversity, opaque model architectures, and unresolved ethical concerns regarding data privacy and esthetic standardization challenge widespread clinical adoption. Overall, AI offers a powerful framework for enhancing precision and reproducibility in esthetic surgery, but its safe and responsible integration will require rigorous validation, transparent methodology, and continued human oversight.

Indexed as

Artificial IntelligenceBeautyEstheticsSurgery, PlasticHumansMachine Learningartificial intelligenceplastic surgerypreoperative planningsurgical outcomes

Identifiers

PMID42075506
PMCPMC13117585

What OpenQuestion holds

Textmetadata
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.