ESOC 2022: “Scientific Session 17 – Can Artificial Intelligence and Data Science Improve Care of Stroke? The Art of the Possible”
Tolga D Dittrich, MD
European Stroke Organisation Conference
May 4-6, 2022
The session chaired by William Whiteley (UK) and Iris Grundwald (UK) focused on current applications and possible future areas of utilization of artificial intelligence (AI) in the field of stroke.
Helle Collatz Christensen from Denmark gave the opening lecture on early stroke detection in the emergency setting. Since experience has shown that emergency medical services do not always correctly recognize a relevant proportion of stroke symptoms at an early stage, the question for Professor Christensen was how to improve stroke recognition. “AI can help us,” Christensen said. Christensen and his team collected telephone contacts between emergency callers and the dispatcher. Based on this data, an AI algorithm was developed that analyzes conversations for stroke suspicious patterns to identify suspected stroke cases early and inform the dispatcher. Existing data on AI recognition of cardiac arrest is already promising. However, Christensen sees one of the challenges in that stroke is different from cardiac arrest due to various possible symptoms.