Artificial intelligence for the detection of focal cortical dysplasia: Challenges in translating algorithms into clinical practice
Focal cortical dysplasias (FCDs) are malformations of cortical development and one of the
most common pathologies causing pharmacoresistant focal epilepsy. Resective …
most common pathologies causing pharmacoresistant focal epilepsy. Resective …
Artificial intelligence in epilepsy—applications and pathways to the clinic
Artificial intelligence (AI) is rapidly transforming health care, and its applications in epilepsy
have increased exponentially over the past decade. Integration of AI into epilepsy …
have increased exponentially over the past decade. Integration of AI into epilepsy …
Are AI language models such as ChatGPT ready to improve the care of individuals with epilepsy?
Keywords: epilepsy; machine learning; language model EN epilepsy machine learning
language model 1195 1199 5 05/11/23 20230501 NES 230501 Epilepsy is a neurological …
language model 1195 1199 5 05/11/23 20230501 NES 230501 Epilepsy is a neurological …
The clinical, imaging, pathological and genetic landscape of bottom-of-sulcus dysplasia
E Macdonald-Laurs, AEL Warren, P Francis… - Brain, 2024 - academic.oup.com
Bottom-of-sulcus dysplasia (BOSD) is increasingly recognized as a cause of drug-resistant,
surgically-remediable, focal epilepsy, often in seemingly MRI-negative patients. We describe …
surgically-remediable, focal epilepsy, often in seemingly MRI-negative patients. We describe …
Determinants of functional outcome after pediatric hemispherotomy
G Ramantani, D Cserpan, M Tisdall… - Annals of …, 2024 - Wiley Online Library
Objective We aimed to evaluate determinants of functional outcome after pediatric
hemispherotomy in a large and recent multicenter cohort. Methods We retrospectively …
hemispherotomy in a large and recent multicenter cohort. Methods We retrospectively …
Predicting seizure outcome after epilepsy surgery: Do we need more complex models, larger samples, or better data?
MH Eriksson, M Ripart, RJ Piper, F Moeller, KB Das… - …, 2023 - Wiley Online Library
Objective The accurate prediction of seizure freedom after epilepsy surgery remains
challenging. We investigated if (1) training more complex models,(2) recruiting larger …
challenging. We investigated if (1) training more complex models,(2) recruiting larger …
Complementary structural and functional abnormalities to localise epileptogenic tissue
Background When investigating suitability for epilepsy surgery, people with drug-refractory
focal epilepsy may have intracranial EEG (iEEG) electrodes implanted to localise seizure …
focal epilepsy may have intracranial EEG (iEEG) electrodes implanted to localise seizure …
Combining magnetic resonance fingerprinting with voxel‐based morphometric analysis to reduce false positives for focal cortical dysplasia detection
Objective We aim to improve focal cortical dysplasia (FCD) detection by combining high‐
resolution, three‐dimensional (3D) magnetic resonance fingerprinting (MRF) with voxel …
resolution, three‐dimensional (3D) magnetic resonance fingerprinting (MRF) with voxel …
The alteration of cortical microstructure similarity in drug-resistant epilepsy correlated with mTOR pathway genes
Background Drug-resistant epilepsy (DRE) is associated with distributed laminar disruptions
due to cytoarchitectonic pathologies, which may be characterized by multimodal MRI …
due to cytoarchitectonic pathologies, which may be characterized by multimodal MRI …
Lesion detection in epilepsy surgery: Lessons from a prospective evaluation of a machine learning algorithm
Aim To evaluate a lesion detection algorithm designed to detect focal cortical dysplasia
(FCD) in children undergoing stereoelectroencephalography (SEEG) as part of their …
(FCD) in children undergoing stereoelectroencephalography (SEEG) as part of their …