Completed Study Compares Clinical Decisions with AI Predictions for ICU Admissions — Implications for Emergency Medicine Practice
247 Health News Editorial
·15 Apr 2026
·3 min read
·clinical-trialsA completed Turkish study compared clinical ICU admission decisions with AI predictions in 624 emergency department patients. The research provides insights into AI accuracy for critical care decision-making with implications for emergency medicine practice.
Originally reported by ClinicalTrials.gov
References
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- 3.Bursa Yuksek Ihtisas Training and Research Hospital. (2024). Evaluation of the Accuracy of Intensive Care Unit (ICU) Admission Indications in Emergency Department Patients: A Comparison Between Clinical Decisions and ChatGPT-4o Prediction. ClinicalTrials.gov. https://clinicaltrials.gov/study/NCT06726733
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- 7.Rajkomar, A., Dean, J., & Kohane, I. (2019). Machine learning in medicine. New England Journal of Medicine, 380(14), 1347-1358. https://doi.org/10.1056/NEJMra1814259
- 8.Stelfox, H. T., Hemmelgarn, B. R., Bagshaw, S. M., Gao, S., Doig, C. J., Nijssen-Jordan, C., & Manns, B. (2012). Intensive care unit bed availability and outcomes for hospitalized patients with sudden clinical deterioration. Archives of Internal Medicine, 172(22), 1695-1701. https://doi.org/10.1001/archinternmed.2012.3080
- 9.Topol, E. J. (2019). High-performance medicine: the convergence of human and artificial intelligence. Nature Medicine, 25(1), 44-56. https://doi.org/10.1038/s41591-018-0300-7
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247 Health News Editorial
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