New AI software doubles accuracy in determining stroke treatment feasibility
Scientists have developed a new artificial intelligence software that can determine the timing of a stroke.
It also can determine whether treatment is feasible with twice the accuracy compared to conventional methods.
Researchers from Imperial College London, Technical University of Munich in Germany and University of Edinburgh in Scotland collaborated on the software.
They trained the model using brain scans from 800 stroke patients with known stroke timings.
The model was tested on data from roughly 2,000 patients, demonstrating it outperformed standard visual assessment methods.
The software automatically identifies relevant brain areas in scans and analyzes lesions to estimate when the stroke occurred.
Dr. Paul Bentley, one of the study’s authors, explained most strokes caused by blood clots are treatable with medical or surgical interventions within 4.5 hours of onset.
Having the information at their fingertips helps doctors make critical decisions about which treatments to apply to stroke patients, he said.
The findings were published in Nature Digital Medicine.
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