Innovative approaches in stroke care: insights from recent studies on patient delay, telemedicine, artificial intelligence, and machine learning
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10143-024-02651-2.pdf
Reference6 articles.
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3. Hassan AE, Ringheanu VM, Rabah RR, Preston L, Tekle WG, Qureshi AI (2020) Early experience utilizing artificial intelligence shows significant reduction in transfer times and length of stay in a hub and spoke model, Interv. Neuroradiol. J. Peritherapeutic Neuroradiol. Surg. Proced. Relat. Neurosci, vol. 26, no. 5, pp. 615–622, Oct. https://doi.org/10.1177/1591019920953055
4. McLouth J et al (2021) Validation of a Deep Learning Tool in the detection of intracranial hemorrhage and large vessel occlusion. Front Neurol 12:656112. https://doi.org/10.3389/fneur.2021.656112
5. Rodolaki K, Pergialiotis V, Iakovidou N, Boutsikou T, Iliodromiti Z, Kanaka-Gantenbein C (2023) The impact of maternal diabetes on the future health and neurodevelopment of the offspring: a review of the evidence. Front Endocrinol 14:1125628. https://doi.org/10.3389/fendo.2023.1125628
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