Artificial intelligence-based decision support software to improve the efficacy of acute stroke pathway in the NHS: an observational study.
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| Title: | Artificial intelligence-based decision support software to improve the efficacy of acute stroke pathway in the NHS: an observational study. |
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| Authors: | Nagaratnam K; Stroke Medicine, Royal Berkshire NHS Foundation Trust, Reading, United Kingdom., Neuhaus A; Stroke Medicine, Oxford University Hospitals NHS Trust, Oxford, United Kingdom., Briggs JH; Stroke Medicine, Royal Berkshire NHS Foundation Trust, Reading, United Kingdom.; Brainomix Limited, Oxford, United Kingdom., Ford GA; Stroke Medicine, Oxford University Hospitals NHS Trust, Oxford, United Kingdom.; Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom., Woodhead ZVJ; Brainomix Limited, Oxford, United Kingdom., Maharjan D; Stroke Medicine, Royal Berkshire NHS Foundation Trust, Reading, United Kingdom., Harston G; Stroke Medicine, Oxford University Hospitals NHS Trust, Oxford, United Kingdom.; Brainomix Limited, Oxford, United Kingdom. |
| Source: | Frontiers in neurology [Front Neurol] 2024 Jan 18; Vol. 14, pp. 1329643. Date of Electronic Publication: 2024 Jan 18 (Print Publication: 2023). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101546899 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2295 (Print) Linking ISSN: 16642295 NLM ISO Abbreviation: Front Neurol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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