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Innovating pediatric epilepsy: transforming diagnosis and treatment with AI.

作者信息

Dell'Isola Giovanni Battista, Fattorusso Antonella, Villano Gianmichele, Ferrara Pietro, Verrotti Alberto

机构信息

Department of Medicine and Surgery, Saint Camillus International University of Health Sciences, Rome, Italy.

Department of Developmental Disabilities, IRCCS San Raffaele, Rome, Italy.

出版信息

World J Pediatr. 2025 May 4. doi: 10.1007/s12519-025-00904-8.

DOI:10.1007/s12519-025-00904-8
PMID:40319435
Abstract
摘要

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Innovating pediatric epilepsy: transforming diagnosis and treatment with AI.创新小儿癫痫：用人工智能改变诊断与治疗
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本文引用的文献

1
A review of epilepsy detection and prediction methods based on EEG signal processing and deep learning.基于脑电图信号处理与深度学习的癫痫检测与预测方法综述
Front Neurosci. 2024 Nov 15;18:1468967. doi: 10.3389/fnins.2024.1468967. eCollection 2024.
2
A deep-learning-based histopathology classifier for focal cortical dysplasia (FCD) unravels a complex scenario of comorbid FCD subtypes.一种基于深度学习的局灶性皮质发育异常（FCD）组织病理学分类器揭示了合并存在的FCD亚型的复杂情况。
Epilepsia. 2024 Dec;65(12):3501-3512. doi: 10.1111/epi.18161. Epub 2024 Oct 23.
3
Advancing epilepsy diagnosis: A meta-analysis of artificial intelligence approaches for interictal epileptiform discharge detection.
推进癫痫诊断：人工智能方法在发作间期癫痫样放电检测中的荟萃分析。
Seizure. 2024 Nov;122:80-86. doi: 10.1016/j.seizure.2024.09.019. Epub 2024 Sep 25.
4
The utility of Multicentre Epilepsy Lesion Detection (MELD) algorithm in identifying epileptic activity and predicting seizure freedom in MRI lesion-negative paediatric patients.多中心癫痫病灶检测（MELD）算法在识别癫痫活动和预测 MRI 阴性病灶的儿科患者无癫痫发作中的效用。
Epilepsy Res. 2024 Oct;206:107429. doi: 10.1016/j.eplepsyres.2024.107429. Epub 2024 Aug 6.
5
Artificial intelligence in epilepsy - applications and pathways to the clinic.人工智能在癫痫中的应用及向临床应用的转化。
Nat Rev Neurol. 2024 Jun;20(6):319-336. doi: 10.1038/s41582-024-00965-9. Epub 2024 May 8.
6
Artificial intelligence/machine learning for epilepsy and seizure diagnosis.人工智能/机器学习在癫痫和 seizure 诊断中的应用。
Epilepsy Behav. 2024 Jun;155:109736. doi: 10.1016/j.yebeh.2024.109736. Epub 2024 Apr 17.
7
Deep learning approaches for seizure video analysis: A review.深度学习在癫痫视频分析中的应用：综述
Epilepsy Behav. 2024 May;154:109735. doi: 10.1016/j.yebeh.2024.109735. Epub 2024 Mar 23.
8
Machine Learning and Artificial Intelligence Applications to Epilepsy: a Review for the Practicing Epileptologist.机器学习与人工智能在癫痫中的应用：给癫痫科执业医师的综述
Curr Neurol Neurosci Rep. 2023 Dec;23(12):869-879. doi: 10.1007/s11910-023-01318-7. Epub 2023 Dec 7.
9
Automated Interpretation of Clinical Electroencephalograms Using Artificial Intelligence.人工智能在临床脑电图中的自动解读。
JAMA Neurol. 2023 Aug 1;80(8):805-812. doi: 10.1001/jamaneurol.2023.1645.
10
Multimodal nocturnal seizure detection in children with epilepsy: A prospective, multicenter, long-term, in-home trial.多模态夜间癫痫发作检测在癫痫儿童中的应用：一项前瞻性、多中心、长期、家庭内的试验。
Epilepsia. 2023 Aug;64(8):2137-2152. doi: 10.1111/epi.17654. Epub 2023 Jun 14.