ReviewFrontiers in public health2026
Advancements in smart healthcare in emergency trauma care: from intelligent triage to prognostic prediction.
Review in Frontiers in public health, 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
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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
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
Emergency trauma care demands rapid, accurate decisions across the continuum from prehospital triage to definitive treatment and follow-up. Smart healthcare technologies, particularly artificial intelligence (AI) and telemedicine, are increasingly being integrated into trauma systems to augment clinical judgment, improve resource allocation, and expand access to specialist expertise. This mini-review synthesizes recent evidence on the application of these technologies in emergency trauma care. Current studies suggest that AI can support prehospital triage, identify life-threatening injuries on imaging, predict mortality, transfusion needs, and other adverse outcomes, and facilitate early risk stratification for both physiological and psychological sequelae. Telemedicine has shown value in remote consultation, transfer decision support, and virtual follow-up, with potential to reduce unnecessary interfacility transfers and optimize trauma system efficiency. However, the field remains constrained by major challenges, including the predominance of retrospective validation studies, limited prospective evidence of clinical utility, concerns regarding algorithmic opacity and bias, and persistent barriers related to workflow integration, infrastructure, reimbursement, and human factors. Overall, smart healthcare is reshaping emergency trauma care from intelligent triage to prognostic prediction, but its translation into routine practice will require prospective implementation studies, explainable and equitable model development, and closer alignment with real-world clinical workflows.
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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 Socratic graph.