Retrospective Study Evaluates AI-Assisted Clinical Decision Making in Emergency Neurology — Israeli Research Tests Diagnostic Accuracy
247 Health News Editorial
·7 Apr 2026
·4 min read
·clinical-trialsIsraeli researchers are evaluating AI diagnostic accuracy in emergency neurology through retrospective analysis of 10,000 cases. Results expected September 2025 will inform global AI implementation in acute care settings.
Originally reported by ClinicalTrials.gov
References
- 1.Rambam Health Care Campus. (2024). Artificial intelligence as a decision making tool in medicine. ClinicalTrials.gov. NCT06902675. https://clinicaltrials.gov/study/NCT06902675
- 2.Ferguson, A. R., Nielson, J. L., Cragin, M. H., Bandrowski, A. E., & Martone, M. E. (2014). Big data from small data: data-sharing in the 'long tail' of neuroscience. Nature Neuroscience, 17(11), 1442-1447. https://doi.org/10.1038/nn.3838
- 3.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
- 4.Liu, X., Faes, L., Kale, A. U., Wagner, S. K., Fu, D. J., Bruynseels, A., ... & Denniston, A. K. (2019). A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging. The Lancet Digital Health, 1(6), e271-e297. https://doi.org/10.1016/S2589-7500(19)30123-2
- 5.Edlow, J. A., Panagos, P. D., Godwin, S. A., Thomas, T. L., & Decker, W. W. (2008). Clinical policy: critical issues in the evaluation and management of adult patients presenting to the emergency department with acute headache. Annals of Emergency Medicine, 52(4), 407-436. https://doi.org/10.1016/j.annemergmed.2008.07.001
- 6.Kanzaria, H. K., Hoffman, J. R., Probst, M. A., Caloyeras, J. P., Berry, S. H., & Brook, R. H. (2015). Emergency physician perceptions of medically unnecessary advanced diagnostic imaging. Academic Emergency Medicine, 22(4), 390-398. https://doi.org/10.1111/acem.12625
- 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
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247 Health News Editorial
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