U.S., Dec. 3 -- ClinicalTrials.gov registry received information related to the study (NCT07257146) titled 'Smart-SABI: Digital Phenotyping of Stroke Access Barriers' on Nov. 20.
Brief Summary: This study aims to identify and quantify the non-clinical barriers (social, transport, and knowledge-based) that delay patient arrival at the hospital during an Acute Ischemic Stroke. By utilizing a multimodal approach that combines a validated patient questionnaire (SABI Tool), Geographic Information Systems (GIS) analysis, and biological markers (infarct volume), the investigators seek to develop a Machine Learning model capable of predicting high-risk phenotypes for pre-hospital delay. The ultimate goal is to validate "Social Determinants of Heal...