Tag: seizure detection

A 2026 editorial argues that medically useful vision-language systems must join reliable multimodal perception to explainable, uncertainty-aware and safety-tested reasoning.

A new graph-based deep learning model reads the wiring structure of the EEG montage itself to detect every seizure in ...

A hybrid CNN-BiLSTM model with multi-head self-attention classifies five EEG brain states, including seizures, with 98.83 percent accuracy on a ...

A new wavelet–EMD fusion framework detects epileptic patterns in pediatric EEG with 94.6% accuracy on synthetic data and retains the ...

Researchers have built a lightweight AI system that detects epileptic seizures in EEG recordings from patients it has never seen, ...

A new dendrite-inspired recurrent neural network architecture outperforms LSTMs on chaotic forecasting benchmarks and achieves strong seizure detection in raw ...

A systematic review of 310 studies reveals five interconnected reasons why AI models for epilepsy rarely reach clinical practice, from ...