Artificial intelligence for early stroke diagnosis in acute vestibular syndrome

Keyphrases

• Artificial Intelligence 100%
• Acute Vestibular Syndrome 100%
• Stroke Diagnosis 100%
• Video Head Impulse Test (vHIT) 100%
• Early Stroke 100%
• Vestibulo-ocular Reflex 50%
• Reflex Gain 50%
• Vestibular 33%
• Eye Movements 16%
• Performance Improvement 16%
• Machine Learning 16%
• Neural Network Architecture 16%
• Neural Network Training 16%
• Head Movement 16%
• Overall Accuracy 16%
• Automated Diagnosis 16%
• Video Recording 16%
• Head Velocity 16%
• Sensitivity Specificity 16%
• Emergency Department 16%
• Bilateral Vestibulopathy 16%
• Emergency Patients 16%
• Velocity Time Series 16%
• Stroke Patients 16%
• Long Short-term Memory Architecture 16%
• Raw Video 16%
• Overall Sensitivity 16%
• Chronic Dizziness 16%
• Direct Inference 16%
• Eye Velocity 16%
• Stroke Classification 16%
• Accurate Discrimination 16%
• Intelligence Learning 16%
• Ground-truth Labels 16%
• Recurrent Neural Network-long Short-term Memory 16%

Neuroscience

• Cerebrovascular Accident 100%
• Vestibulo-Ocular Reflex 42%
• Magnetic Resonance Imaging 28%
• Neural Network 28%
• Short-Term Memory 14%
• Recurrent Neural Network 14%