MRI-based deep learning can discriminate between temporal lobe epilepsy, Alzheimer's disease, and healthy controls.
Allen J ChangRebecca RothEleni BougioukliTheodor RuberSimon S KellerDaniel L DraneRobert E GrossJames WelshAnees AbrolVince D CalhounIoannis KarakisErik KaestnerBernd WeberCarrie McDonaldEzequiel GleichgerrchtLeonardo Bonilhanull nullPublished in: Communications medicine (2023)
AI (CNN deep learning) can classify and distinguish TLE, underscoring its potential utility for future computer-aided radiological assessments of epilepsy, especially for patients who do not exhibit easily identifiable TLE associated MRI features (e.g., hippocampal sclerosis).
Keyphrases
- temporal lobe epilepsy
- deep learning
- artificial intelligence
- convolutional neural network
- contrast enhanced
- magnetic resonance imaging
- diffusion weighted imaging
- machine learning
- cognitive decline
- computed tomography
- current status
- magnetic resonance
- mild cognitive impairment
- brain injury
- subarachnoid hemorrhage
- cerebral ischemia