ArticleAnnals of medicine and surgery (2012)2025
Digital twins: pioneering personalized precision in modern surgery.
Article in Annals of medicine and surgery (2012), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Surgical planning and execution have traditionally relied on generalized approaches, often overlooking patient-specific anatomical and physiological variations, leading to increased risks and variable outcomes. Digital twins, virtual replicas of patients that integrate real-time data and predictive modeling, are emerging as a transformative innovation in surgery. These models enable personalized simulations for preoperative planning, intraoperative guidance, and postoperative monitoring, enhancing precision and reducing complications. However, barriers such as data privacy, computational demands, and regulatory hurdles limit their integration. Future advancements should emphasize interdisciplinary collaboration, standardized protocols, and clinical trials to realize their full potential in democratizing precision surgery.
Identifiers
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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.