Automated detection of arterial landmarks and vascular occlusions in patients with acute stroke receiving digital subtraction angiography using deep learning.
Jui KhankariYannan YuJiahong OuyangRamy HusseinHuy M DoNicholas J LeeperGreg ZaharchukPublished in: Journal of neurointerventional surgery (2022)
These results may serve as an unbiased standard for clinical stroke trials, as optimal standardization would be useful for core laboratories in endovascular thrombectomy studies, and also expedite decision-making during DSA-based procedures.
Keyphrases
- deep learning
- decision making
- machine learning
- optical coherence tomography
- artificial intelligence
- computed tomography
- convolutional neural network
- atrial fibrillation
- acute ischemic stroke
- high throughput
- loop mediated isothermal amplification
- label free
- real time pcr
- case control
- magnetic resonance imaging
- brain injury
- cerebral ischemia
- single cell
- sensitive detection
- quantum dots