(24 May 2023, Munich, Germany) A team of researchers from Denmark have developed a new artificial intelligence (AI) framework to address the number of strokes that go unrecognised by human emergency call handlers.1 The framework outperformed emergency call handlers in recognising stroke for both sexes and across all age groups studied, indicating its potential as a supplementary tool for early and precise stroke identification in the future.
The retrospective study, presented today at the European Stroke Organisation Conference (ESOC) 2023, drew from the Danish Stroke Registry and a dataset of over 1.5 million calls made to the Copenhagen Emergency Medical Services between 2015 and 2020, which included over 7000 stroke-related calls. Researchers utilised this data to train an AI framework to firstly transcribe the call audio and then predict the risk of stroke based on the transcribed text.
