Machine learning in the diagnosis and prognosis of transient ischaemic attack: a systematic review
Abstract Background Transient ischaemic attack (TIA) is a major risk factor for stroke, with up to 15% of patients experiencing an event within 90 days, a large proportion in the first 48 h. Accurate diagnosis and prognostic stratification remain challenging due to transient symptoms, lack of biomar...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BMC
2026-03-01
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| Col·lecció: | BMC Neurology |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1186/s12883-026-04834-4 |
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