ArticleInternal and emergency medicine2026
Artificial intelligence to improve patient care in emergency medicine: a workflow-based analysis.
Article in Internal and emergency medicine, 2026. 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.
- Application, challenges and prospects of artificial intelligence in acute poisoning management.World journal of emergency medicine · 2026Article
- Clinical governance of artificial intelligence in internal medicine: a literature-informed five-pillar framework for complex care.Internal and emergency medicine · 2026Review
- Artificial intelligence in acute and critical care: current challenges and strategic solutions.Frontiers in public health · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the last years, artificial intelligence has had a strong impact on health sciences, including emergency medicine. There are different fields of application, from pre-hospital to in-hospital issues. Concerning pre-hospital care, it may be useful in controlling patient' transportation by public ambulance in emergency departments and improve transport time outliers. In hospital management may benefit from its ability to read out imaging or to rapidly calculate predictive scores or suggest therapeutic strategies. While the application of artificial intelligence in emergency medicine is surely intriguing, it is not free from potential risks, which in turn may overcome benefits. Since the majority of the studies are very small rather than pilot, a clear discussion among EM physicians is now necessary in order to better define the application of this technology in the real world by maximizing benefits and reducing risks.
Indexed as
Identifiers
What Socratic 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 Socratic graph.