Automated Prediction of Proximal Middle Cerebral Artery Occlusions in Noncontrast Brain Computed Tomography.
Pyeong Eun KimHyojung YangDongmin KimLeonard SunwooChi Kyung KimBeom Joon KimJoon Tae KimWi-Sun RyuHo Sung KimPublished in: Stroke (2024)
Our algorithm provides reliable predictions of LVO using noncontrast computed tomography. By enabling early LVO identification, our algorithm has the potential to expedite the stroke workflow.
Keyphrases
- computed tomography
- middle cerebral artery
- dual energy
- machine learning
- deep learning
- positron emission tomography
- internal carotid artery
- magnetic resonance imaging
- atrial fibrillation
- image quality
- cerebral ischemia
- contrast enhanced
- white matter
- resting state
- risk assessment
- human health
- magnetic resonance
- functional connectivity
- multiple sclerosis
- subarachnoid hemorrhage