Results 171 to 180 of about 91,701 (298)

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

Clinical efficacy of neuromodulation in isolated dystonia: A systematic review of motor function improvement. [PDF]

open access: yesNeurol Sci
Carta D   +7 more
europepmc   +1 more source

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

open access: yesEpilepsia 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   +7 more
wiley   +1 more source

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

open access: yesEpilepsia 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   +6 more
wiley   +1 more source

Perspectives on the burden of drug‐resistant epilepsy and treatment priorities: Findings from a multistakeholder survey

open access: yesEpilepsia Open, EarlyView.
Abstract Objective Drug‐resistant epilepsy (DRE) imposes a significant burden on patients and their caregivers. This study aimed to explore the concerns and perceptions of healthcare providers (HCPs), patients, and caregivers regarding the burden of disease and quality of life (QoL) in patients with DRE.
Simona Lattanzi   +6 more
wiley   +1 more source

Practical consensus recommendations for polytherapy involving stiripentol in Dravet syndrome: A nominal group approach

open access: yesEpilepsia Open, EarlyView.
Abstract Objectives Dravet syndrome (DS) is a drug‐resistant developmental and epileptic encephalopathy, often requiring three or more antiseizure medications (ASMs). Consequently, the therapeutic landscape is highly complex, combining DS‐specific agents (stiripentol, STP; cannabidiol, CBD; fenfluramine, FFA), non‐specific ASMs, and non‐pharmacologic ...
J. Helen Cross   +4 more
wiley   +1 more source

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