Machine learning applications in epilepsy
B Abbasi, DM Goldenholz - Epilepsia, 2019 - Wiley Online Library
Abstract Machine learning leverages statistical and computer science principles to develop
algorithms capable of improving performance through interpretation of data rather than …
algorithms capable of improving performance through interpretation of data rather than …
Vagus nerve stimulation in brain diseases: Therapeutic applications and biological mechanisms
Y Wang, G Zhan, Z Cai, B Jiao, Y Zhao, S Li… - … & Biobehavioral Reviews, 2021 - Elsevier
Brain diseases, including neurodegenerative, cerebrovascular and neuropsychiatric
diseases, have posed a deleterious threat to human health and brought a great burden to …
diseases, have posed a deleterious threat to human health and brought a great burden to …
[HTML][HTML] Towards revolutionizing precision healthcare: A systematic literature review of artificial intelligence methods in precision medicine
In the realm of medicine, artificial intelligence (AI) has emerged as a transformative force,
harnessing the power to convert raw data into meaningful insights. Rather than supplanting …
harnessing the power to convert raw data into meaningful insights. Rather than supplanting …
The vagus afferent network: emerging role in translational connectomics
LD Hachem, SM Wong, GM Ibrahim - Neurosurgical focus, 2018 - thejns.org
Vagus nerve stimulation (VNS) is increasingly considered for the treatment of intractable
epilepsy and holds potential for the management of a variety of neuropsychiatric conditions …
epilepsy and holds potential for the management of a variety of neuropsychiatric conditions …
[HTML][HTML] Latest views on the mechanisms of action of surgically implanted cervical vagal nerve stimulation in epilepsy
Background Vagus nerve stimulation (VNS) is approved as an adjunctive treatment for drug-
resistant epilepsy. Although there is a substantial amount of literature aiming at unraveling …
resistant epilepsy. Although there is a substantial amount of literature aiming at unraveling …
[HTML][HTML] Evolution of the vagus nerve stimulation (VNS) therapy system technology for drug-resistant epilepsy
P Afra, B Adamolekun, S Aydemir… - Frontiers in Medical …, 2021 - frontiersin.org
The vagus nerve stimulation (VNS) Therapy® System is the first FDA-approved medical
device therapy for the treatment of drug-resistant epilepsy. Over the past two decades, the …
device therapy for the treatment of drug-resistant epilepsy. Over the past two decades, the …
Norwegian population‐based study of long‐term effects, safety, and predictors of response of vagus nerve stimulation treatment in drug‐resistant epilepsy: the …
KH Kostov, H Kostov, PG Larsson, O Henning… - …, 2022 - Wiley Online Library
Objective This study was undertaken to evaluate the efficacy of vagus nerve stimulation
(VNS) over time, and to determine which patient groups derive the most benefit. Methods …
(VNS) over time, and to determine which patient groups derive the most benefit. Methods …
Connectomic profiling identifies responders to vagus nerve stimulation
Objective Vagus nerve stimulation (VNS) is a common treatment for medically intractable
epilepsy, but response rates are highly variable, with no preoperative means of identifying …
epilepsy, but response rates are highly variable, with no preoperative means of identifying …
Biomarkers of seizure response to vagus nerve stimulation: a scoping review
Although vagus nerve stimulation (VNS) is a common procedure, seizure outcomes are
heterogeneous, with few available means to preoperatively identify the ideal surgical …
heterogeneous, with few available means to preoperatively identify the ideal surgical …
[HTML][HTML] Clinical application of machine learning models for brain imaging in epilepsy: a review
D Sone, I Beheshti - Frontiers in Neuroscience, 2021 - frontiersin.org
Epilepsy is a common neurological disorder characterized by recurrent and disabling
seizures. An increasing number of clinical and experimental applications of machine …
seizures. An increasing number of clinical and experimental applications of machine …