Artificial intelligence for clinical decision support in neurology
Artificial intelligence is one of the most exciting methodological shifts in our era. It holds the
potential to transform healthcare as we know it, to a system where humans and machines …
potential to transform healthcare as we know it, to a system where humans and machines …
[HTML][HTML] Epileptic multi-seizure type classification using electroencephalogram signals from the Temple University Hospital Seizure Corpus: A review
Epilepsy is one of the most paramount neurological diseases, affecting about 1% of the
world's population. Seizure detection and classification are difficult tasks and are ongoing …
world's population. Seizure detection and classification are difficult tasks and are ongoing …
Semi-dilated convolutional neural networks for epileptic seizure prediction
Epilepsy is a neurological brain disorder that affects∼ 75 million people worldwide.
Predicting epileptic seizures holds great potential for improving the quality of life of people …
Predicting epileptic seizures holds great potential for improving the quality of life of people …
Multi-channel vision transformer for epileptic seizure prediction
Epilepsy is a neurological disorder that causes recurrent seizures and sometimes loss of
awareness. Around 30% of epileptic patients continue to have seizures despite taking anti …
awareness. Around 30% of epileptic patients continue to have seizures despite taking anti …
An overview of EEG-based machine learning methods in seizure prediction and opportunities for neurologists in this field
B Maimaiti, H Meng, Y Lv, J Qiu, Z Zhu, Y Xie, Y Li… - Neuroscience, 2022 - Elsevier
The unpredictability of epileptic seizures is one of the most problematic aspects of the field of
epilepsy. Methods or devices capable of detecting seizures minutes before they occur may …
epilepsy. Methods or devices capable of detecting seizures minutes before they occur may …
New advances in pharmacoresistant epilepsy towards precise management-from prognosis to treatments
C Xu, Y Gong, Y Wang, Z Chen - Pharmacology & Therapeutics, 2022 - Elsevier
Epilepsy, one of the most severe neurological diseases, is characterized by abrupt recurrent
seizures. Despite great progress in the development of antiseizure drugs (ASDs) based on …
seizures. Despite great progress in the development of antiseizure drugs (ASDs) based on …
Deep learning for EEG seizure detection in preterm infants
EEG is the gold standard for seizure detection in the newborn infant, but EEG interpretation
in the preterm group is particularly challenging; trained experts are scarce and the task of …
in the preterm group is particularly challenging; trained experts are scarce and the task of …
Epileptic seizure prediction using spectral width of the covariance matrix
Objective. Epilepsy is a common neurological disorder in which patients suffer from sudden
and unpredictable seizures. Seizures are caused by excessive and abnormal neuronal …
and unpredictable seizures. Seizures are caused by excessive and abnormal neuronal …
An efficient epilepsy prediction model on european dataset with model evaluation considering seizure types
SM Varnosfaderani, I McNulty… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
This paper develops a computationally efficient model for automatic patient-specific seizure
prediction using a two-layer LSTM from multichannel intracranial electroencephalogram …
prediction using a two-layer LSTM from multichannel intracranial electroencephalogram …
Prediction of seizure recurrence. A note of caution
Great strides have been made recently in documenting that machine-learning programs can
predict seizure occurrence in people who have epilepsy. Along with this progress have …
predict seizure occurrence in people who have epilepsy. Along with this progress have …