ReviewJournal of clinical orthopaedics and trauma2025
Leveraging data to transform surgical outcomes and precision in orthopaedics.
Review in Journal of clinical orthopaedics and trauma, 2025. 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
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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
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the era of evidence-based clinical practice, large data sources, including national registries, electronic health records, imaging studies, and well documented patient-related outcomes, play a crucial role. Especially in orthopaedic surgery, the use of data-driven methods can contribute to more informed decision-making, improved clinical outcomes, and surgical precision. Tools like machine learning and predictive models can analyze this complex dataset and assist in selecting patients for appropriate treatment, identifying risk factors, and personalizing treatment strategies. The application of evolving modern surgical technologies such as computer-assisted and robotic surgery can facilitate improved preoperative planning, surgical accuracy, and better postoperative care. However, several limitations and challenges exist, including inconsistent data quality, ethical considerations, limited resources, and a lack of transparency. As artificial intelligence gains traction in healthcare, there is a need for embracing data-driven approach in orthopaedic surgery, and its thoughtful integration into clinical practice for safe, efficient, accurate, and patient-centred care.
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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.