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Related Experiment Video

Updated: Feb 1, 2026

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke
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Learning to Predict Ischemic Stroke Growth on Acute CT Perfusion Data by Interpolating Low-Dimensional Shape

Christian Lucas1,2, André Kemmling3, Nassim Bouteldja1

  • 1Institute of Medical Informatics, University of Lübeck, Lübeck, Germany.

Frontiers in Neurology
|December 12, 2018
PubMed
Summary

Predicting ischemic stroke lesion growth using advanced AI and CT perfusion imaging can improve treatment decisions. This method incorporates clinical expertise to model infarct progression, aiding in risk-benefit analysis for stroke therapies.

Failed At:

2026-06-19T13:47:24.961420+00:00

Keywords:
CTgrowthischemiclearningperfusionpredictionshapestroke

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