Value of machine learning to predict functional outcome of endovascular treatment for acute ischaemic stroke of the posterior circulation.
Ludger FeyenPeter SchottHendrik OchmannMarcus KatohPatrick HaagePatrick FreyhardtPublished in: The neuroradiology journal (2021)
Favourable and unfavourable outcomes at dismissal of patients with acute ischaemic stroke of the posterior circulation can be predicted immediately after the follow-up non-enhanced computed tomography using machine learning.
Keyphrases
- endovascular treatment
- computed tomography
- machine learning
- liver failure
- positron emission tomography
- respiratory failure
- magnetic resonance imaging
- artificial intelligence
- aortic dissection
- drug induced
- big data
- intensive care unit
- deep learning
- contrast enhanced
- metabolic syndrome
- dual energy
- magnetic resonance
- skeletal muscle
- type diabetes
- image quality
- acute respiratory distress syndrome