Results 191 to 200 of about 187,200 (297)

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
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, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

A machine learning model for predicting post-stroke epilepsy risk by integrating multimodal EEG-fMRI and clinical biomarkers. [PDF]

Front Neurol
Wang Z, Liu H, Ma T.
europepmc   +1 more source

The multiple hit model of infantile and epileptic spasms: The 2025 update

Epilepsia Open, EarlyView.
Abstract Objective Infantile and epileptic spasms syndrome (IESS) is a developmental and epileptic encephalopathy manifesting with epileptic spasms and poor neurodevelopmental outcomes. There is an urgent need for the development of more effective and tolerated therapies.
Aristea S. Galanopoulou, Wenzhu B. Mowrey, Wei Liu, Anna Maria Katsarou, Qianyun Li, Oleksii Shandra, Solomon L. Moshé   +6 more
wiley   +1 more source

Challenges of Standard Pediatric Epilepsy Monitoring and the Potential Benefits of Contactless Sensor Technologies: Exploratory Qualitative Study. [PDF]

J Med Internet Res
Öhl N, Strack D, Kusnik SM, Link I, Hofmann M, Steigleder T, Weisser A, Ostgathe C, Trollmann R, Heckel M.   +9 more
europepmc   +1 more source

Detection of interictal epileptiform discharges using multiple bilateral insertions of a newly developed microcatheter‐compatible endovascular electroencephalogram electrode: A clinical feasibility trial

Epilepsia Open, EarlyView.
Abstract Objective To assess the feasibility, technical performance, and safety of a novel endovascular electroencephalogram (eEEG) electrode, EP‐01, designed for minimally invasive seizure localization in patients with drug‐resistant epilepsy. Methods This single‐center, prospective, exploratory trial enrolled five patients with drug‐resistant ...
Kota Araki, Yosuke Masuda, Ayataka Fujimoto, Mitsuyo Nishimura, Hisayuki Hosoo, Hiroki Ishida, Takashi Enokizono, Kensuke Kawai, Eiichi Ishikawa, Yuji Matsumaru   +9 more
wiley   +1 more source

Electroencephalography in Epilepsy

International Journal of Clinical Practice, 1950
openaire   +2 more sources

ENCEVIS: Evaluating the feasibility of an AI‐based algorithm as an assistant to neurophysiologists in clinical practice

Epilepsia Open, EarlyView.
Abstract Objective This study evaluated the performance of the ENCEVIS artificial intelligence (AI)‐based algorithm as a screening tool to predict the presence of ictal and/or interictal epileptiform discharges (IEDs) in electroencephalography (EEG) recordings.
Aleksandre Tsereteli, Natela Okujava, Nikoloz Malashkhia, Tamar Sakvarelidze   +3 more
wiley   +1 more source

Perioperative assessment of electroencephalography in dogs with congenital portosystemic shunts. [PDF]

J Vet Intern Med
Dupanloup AM, Dickinson PJ, Toedebusch CM, Unkel CM, Culp WTN, Knipe MF.   +5 more
europepmc   +1 more source

How to report neurotechnology and artificial intelligence studies in epilepsy: Peer‐review‐inspired recommendations

Epilepsia Open, EarlyView.
Abstract Objective The integration of neurotechnology and artificial intelligence (AI) in epilepsy research has led to significant advancements in diagnosis, monitoring, and treatment. However, the impact of these innovations is often diminished by inadequate and inaccurate reporting, limiting their reproducibility and implementation.
Pedro F. Viana, Matthew McWilliam, Andrea Biondi, Jesus Servando Medel‐Matus, Naoto Kuroda, Giulia Sofia Cereda, Aristea S. Galanopoulou   +6 more
wiley   +1 more source

Diagnostic reassessment in patients previously diagnosed with childhood‐onset epilepsy during the transition to adult care: A retrospective cohort study in a tertiary epilepsy center

Epilepsia Open, EarlyView.
Abstract Objective To investigate the frequency, predictors, and clinical implications of diagnostic reassessment in patients previously diagnosed with childhood‐onset epilepsy during the transition period to adult care at a tertiary epilepsy center. Methods We conducted a retrospective cohort study of 317 patients previously diagnosed with childhood ...
Tetsuhiro Fukuyama, Masaru Nasuno, Manami Yabe, Makoto Nishioka, Yumi Hoshino, Takenori Natsume, Kohei Kanaya, Kyoko Takano, Tomoki Kaneko, Yushi Inoue   +9 more
wiley   +1 more source