WSC 2022 | Advancing stroke imaging with artificial intelligence

Wim H. van Zwam, MD, Maastricht University Medical Center, The Netherlands, discusses how artificial intelligence (AI) can be used to improve stroke imaging. Nowadays, AI has been incorporated into widely used imaging modalities to improve accuracy and efficiency. For example, calculating core and penumbra measurements from CT perfusion involves AI calculations. AI can also be used in outcome prediction. The MR PREDICTS outcome and endovascular treatment benefit decision tool can be used to support clinical judgement, as it combines numerous baseline clinical and radiological characteristics to distinguish between patients likely to benefit from endovascular treatment and those who will not. Collateral scoring can also be done with automated software. As AI becomes more familiar and more advanced in the future, it will likely become commonplace in clinical practice. This interview took place at the World Stroke Congress 2022 in Singapore.

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