Results 151 to 160 of about 28,987 (259)

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

Intraoperative Neurophysiological Monitoring in Contemporary Spinal Surgery: A Systematic Review of Clinical Outcomes and Cost-Effectiveness. [PDF]

open access: yesBrain Sci
Zanin L   +12 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

Epilepsy surgery: From bench to the clinics

open access: yesEpilepsia Open, EarlyView.
Abstract Objective Recent advances in epilepsy surgery in patients with intractable epilepsy make it possible to study the mechanism of epilepsy in human brains. However, the true extent and propagation of each epileptogenic area from the epileptogenic focus in each patient is still difficult to perform “epilepsy cure” by surgery.
Tatsuya Tanaka
wiley   +1 more source

Brainstem auditory evoked potentials for intraoperative neurophysiological monitoring

open access: yesJournal of Neuroanaesthesiology and Critical Care, 2016
Nishanth Sampath   +4 more
doaj   +1 more source

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

open access: yesEpilepsia 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   +3 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

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