Results 221 to 230 of about 4,951,805 (294)
Abstract Objective Despite elevated risk for epilepsy following traumatic brain injury (TBI), there are limited tools to assess epilepsy risk following TBI using routine clinical data. The objective of this study was to develop and validate a machine learning approach to predict the onset of posttraumatic epilepsy (PTE) over varying time horizons ...
Mustafa Ozmen +6 more
wiley +1 more source
Status epilepticus in adults: From etiology to treatment response
Abstract This study explored the association between etiology of status epilepticus (SE) and treatment responsiveness. Consecutive episodes of nonhypoxic SE in patients ≥14 years old were included. Etiology was classified into acute, remote, progressive, defined electroclinical syndromes, and unknown.
Simona Lattanzi +5 more
wiley +1 more source
Abstract Objective Quantitative assessment of extent of tissue resection following epilepsy surgery requires accurate delineation of the resection cavity on postoperative magnetic resonance imaging (MRI). Current methods for resection cavity masking are time‐consuming and labor‐intensive, and existing automated approaches exhibit variable segmentation ...
Jieun Seo +91 more
wiley +1 more source
International Medical Informatics Association (IMIA)
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doaj
Abstract Objective We aimed to determine the risk of subsequent seizure or epilepsy diagnosis after acute symptomatic seizures (ASyS) in critically ill children, evaluate whether antiseizure medication (ASM) use is associated with subsequent seizure/epilepsy diagnosis, and develop a simple Seizure/Epilepsy Risk Score to predict subsequent seizure ...
Nicholas S. Abend +5 more
wiley +1 more source
Abstract Objective Artificial intelligence chatbots have been a game changer in healthcare, providing immediate, round‐the‐clock assistance. However, their accuracy across specific medical domains remains under‐evaluated. Dravet syndrome remains one of the most challenging epileptic encephalopathies, with new data continuously emerging in the ...
Joana Jesus‐Ribeiro +4 more
wiley +1 more source
Informatics in Emergency Medicine During the Era of Artificial Intelligence
Fatih Cemal Tekin, Mehmet Gül
doaj +1 more source
Ambient technology in epilepsy clinical practice
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
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source

