Results 191 to 200 of about 13,270 (293)

Mental health of children with epilepsy in Ukraine during the war

open access: yesEpilepsia, EarlyView.
Abstract Objective The ongoing conflict in Ukraine has created a severe humanitarian crisis, disproportionately affecting vulnerable populations such as children with chronic conditions. We set out to determine information about mental health in children with epilepsy in Ukraine affected by the conflict.
Volodymyr Kharytonov   +4 more
wiley   +1 more source

Ambient technology in epilepsy clinical practice

open access: yesEpilepsia Open, EarlyView.
Abstract The utilization of large language model‐based artificial intelligence (AI) in the field of neurology has gained attention as a viable tool to enhance and assist providers with processes ranging from scheduling patients to providing preliminary interpretations of testing results, pending orders, and documenting encounters. Epileptologists could
Haania Kakwan   +3 more
wiley   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

open access: yesEpilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida   +5 more
wiley   +1 more source

Natural language processing‐based emotion and usage analysis of an AI‐powered chatbot for epilepsy support

open access: yesEpilepsia Open, EarlyView.
Abstract Objective Artificial intelligence (AI)‐powered chatbots are increasingly used for patient education and mental health support, yet their effectiveness in epilepsy care remains underexplored. This study examines text‐based interactions between users and EpiloBot, an epilepsy‐focused chatbot, to understand conversational patterns and emotional ...
Keiichi Watanuki   +10 more
wiley   +1 more source

Spatio‐Temporal Dual‐Encoder Transformer for Short‐Term Regional Wind Power Forecasting

open access: yesEnergy Science &Engineering, EarlyView.
ST‐DualFormer separates temporal and spatial encoding to model complex dependencies in regional wind power forecasting. The fused dual‐stream representation enables accurate short‐term regional forecasts from multi‐farm meteorological and historical power data. The method achieved 5.25% nMAE and 7.53% nRMSE for three‐day‐ahead forecasting on real‐world
Jianfeng Che   +4 more
wiley   +1 more source

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