Results 191 to 200 of about 83,179 (266)
Abstract Objective Febrile seizures (FS) are the most common seizures in childhood, yet identifying children at risk of developing epilepsy after the first FS remains challenging. We aimed to evaluate the prognostic potential of machine learning (ML) algorithms applied to post‐febrile seizure electroencephalography (EEG) recordings.
Boran Şekeroğlu +7 more
wiley +1 more source
Clinically oriented dual-tier screening for post-stroke epilepsy with interpretable machine learning in a severely imbalanced cohort. [PDF]
Wu L, Wu H, Xu L, Li J, Wang J.
europepmc +1 more source
Abstract Despite advancements in epilepsy care, a substantial diagnostic gap persists, particularly in resource‐limited settings. This narrative review explores the potential of video‐based diagnostics augmented by artificial intelligence (AI) to address this gap by enabling earlier and more accessible seizure detection and classification.
Gadi Miron +7 more
wiley +1 more source
Photonics-Aided 20 m Wireless Transmission of 56-GBaud OFDM Signals at 138 GHz in the D-Band for 6G Applications. [PDF]
Zhang H, Pei Z, Zhang Q, Chen Y, Yu J.
europepmc +1 more source
Abstract Objective Accurate localization of epileptic activity remains challenging when interictal discharges are absent or sparse. Although resting‐state functional MRI (rs‐fMRI) is noninvasive, individual rs‐fMRI metrics provide inconsistent and incomplete localization.
Qirui Zhang +8 more
wiley +1 more source
Enhancing TSH-based congenital hypothyroidism screening using machine learning and resampling algorithms. [PDF]
De Furia A, Branco P, Henderson M.
europepmc +1 more source
Quantitative electroencephalographic measures during postmalarial epileptogenesis
Abstract Objective Severe malaria with neurologic involvement contributes significantly to the global burden of acquired pediatric epilepsy. We studied quantitative electroencephalographic (EEG) measures in postmalarial epileptogenesis. Methods A total of 186 patients, aged 6 months to 11 years, with confirmed central nervous system malaria were ...
Rasesh B. Joshi +14 more
wiley +1 more source
Comparing effect latencies in the visual world paradigm: Monte Carlo simulations to assess resampling-based procedures. [PDF]
Minor S.
europepmc +1 more source
Abstract Objective Prediction models are increasingly being sought in epilepsy surgery to predict postoperative outcomes and support clinical decision‐making. Studies summarizing the evidence in this area can provide insight into the type of surgical prediction models, their methodology, and their performance and inform areas for future research.
Alyssa A. Federico +5 more
wiley +1 more source

