Abstract #0030

Using convolutional neural networks to predict infarct development in acute ischemic stroke patients: does reperfusion status matter?

Yuan Xie¹, Yannan Yu¹, Thoralf Thamm¹, Charles Huang¹, Enhao Gong¹, Soren Christensen¹, Maarten Lansberg¹, and Greg Zaharchuk¹

¹Stanford University, Stanford, CA, United States

Convolutional Neural Network has shown promising results in stroke treatment outcome predictions. Our study explores the hypothesis of whether training a CNN model with patients who have similar treatment outcomes can improve the model prediction of day 5 stroke lesion.

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