ArticlePlastic and reconstructive surgery. Global open2026
Artificial Intelligence in Plastic and Reconstructive Surgery: A Bibliometric Study of the 50 Most-cited Articles.
Article in Plastic and reconstructive surgery. Global open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
Background: Artificial intelligence (AI) has gained increasing attention in the surgical literature, including plastic and reconstructive surgery (PRS). However, the characteristics and trends of the most influential publications on AI in PRS remain poorly defined. Methods: The online Web of Science Core Collection was searched on November 18, 2025, to identify articles on AI applications in PRS. Title, authorship information, publication year, journal, funding, and citation count were recorded. Studies were further classified based on application domain and PRS subspecialty. Results: The 50 most-cited articles on AI in PRS were published between 2001 and 2024, with citation counts ranging from 45 to 124. Most articles originated from the United States (n = 18; 1166 citations) and were published by plastic surgeons (n = 17; 1332 citations). Imaging assessment (n = 21; 1564 citations) represented the most common application of AI, whereas the predominant PRS subspecialty was craniofacial surgery (n = 32; 2364 citations). Conclusions: This bibliometric analysis highlights the most influential publications and emerging applications of AI in plastic surgery, revealing that image-based approaches predominate, particularly in craniofacial surgery, whereas adoption remains uneven across PRS subspecialties. These findings underscore current research priorities and identify areas where AI development remains limited, offering a foundation to guide future work in this rapidly evolving field.
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.