Deep Learning Models Predict SUDEP and Stroke Vulnerability

This ArXiv paper explores the application of geometric-stochastic multimodal deep learning to predict the risk of Sudden Unexpected Death in Epilepsy (SUDEP) and stroke vulnerability. The research represents a promising application of AI in healthcare, potentially leading to earlier diagnosis and preventative measures.

• •Applies deep learning to predict SUDEP and stroke risk.
• •Utilizes a geometric-stochastic multimodal approach.
• •The research is published on ArXiv, indicating peer review may be pending.