AI‐based localization of the epileptogenic zone using intracranial EEG
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]
Zanin L +12 more
europepmc +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
Intra-operative blink reflex neurophysiological monitoring in posterior skull base neurosurgery. [PDF]
Lee MWY, Chau SW.
europepmc +1 more source
Epilepsy surgery: From bench to the clinics
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
Nishanth Sampath +4 more
doaj +1 more source
Accuracy of intraoperative neurophysiological monitoring in predicting postoperative neurological decline in intradural extramedullary spinal tumor surgery: a systematic review and meta-analysis. [PDF]
Antkowiak L +4 more
europepmc +1 more source
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
Application of intraoperative neurophysiological monitoring in unilateral biportal endoscopic lumbar spine surgery. [PDF]
Bai TY, Meng H, Lin JS, Fan ZH, Fei Q.
europepmc +1 more source
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

