Clinical evaluation of a deep-learning model for automatic scoring of the Alberta stroke program early CT score on non-contrast CT.
Seong-Joon LeeGyuha ParkDohyun KimSumin JungSoohwa SongJi Man HongDong Hoon ShinJin Soo LeePublished in: Journal of neurointerventional surgery (2023)
The current trial results show that Heuron ASPECTS reliably measures the ASPECTS for use in clinical practice.
Keyphrases
- deep learning
- clinical evaluation
- contrast enhanced
- clinical practice
- image quality
- dual energy
- computed tomography
- magnetic resonance imaging
- magnetic resonance
- machine learning
- atrial fibrillation
- artificial intelligence
- quality improvement
- positron emission tomography
- convolutional neural network
- clinical trial
- randomized controlled trial
- blood brain barrier
- neural network