ReviewPlastic surgery (Oakville, Ont.)2025
Artificial Intelligence and Postoperative Monitoring in Plastic Surgery.
Review in Plastic surgery (Oakville, Ont.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Artificial Intelligence in Breast Reconstruction: A Scoping Review of Pre-, Intra-, and Postoperative Applications.Plastic and reconstructive surgery. Global open · 2026Article
- The Development and Evaluation of a Retrieval-Augmented Generation Large Language Model Virtual Assistant for Postoperative Instructions.Bioengineering (Basel, Switzerland) · 2025Article
- How can physicians adopt AI-based applications in the United Arab Emirates to improve patient outcomes?Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Technological innovation has fueled an evolving landscape in plastic surgery. Recently, artificial intelligence (AI) has demonstrated tremendous potential in enhancing our diagnostic ability, automating data acquisition for research purposes, and supplementing our intraoperative decision-making. Over the last two decades, advancements in AI enhanced pre- and intraoperative management of plastic surgery patients. However, the demand to keep plastic surgery patients out of hospital during the COVID-19 pandemic has recently inspired important AI innovations in postoperative care, such as telemedicine and remote patient monitoring. As we transition into the post-COVID era of medicine, these novel technologies will be critical in enhancing patient safety and satisfaction, while reducing rising healthcare costs. Herein, we review the basic principles of AI in plastic surgery and illustrate its significance in remote postoperative monitoring.
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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.