ReviewNature reviews. Neurology2024
Artificial intelligence in epilepsy - applications and pathways to the clinic.
Review in Nature reviews. Neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
40 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence in electroencephalography analysis for epilepsy diagnosis and management.Frontiers in neurology · 2025Pooled it
- Advancing the Paradigm of Temporal Lobe Epilepsy as a Network Disease: The Promise of Biomarkers and Targeted Disease Modification.International journal of molecular sciences · 2026Review
- Artificial Intelligence for Improving the Management of People With Epilepsy in Low-and-Middle Income Countries.European journal of neurology · 2026Review
- Artificial Intelligence and Digital Biomarkers for Early Detection and Monitoring of Neurological Disorders: A Narrative Review.Diagnostics (Basel, Switzerland) · 2026Review
- The genetic architecture of epilepsy across molecular mechanisms and clinical heterogeneity.Epilepsia open · 2026Review
- Clinical application of artificial intelligence technology in epilepsy.Acta epileptologica · 2026Review
- Epilepsy as a Multiscale Network Disorder: Integrating Precision Therapeutics and Emerging Experimental Platforms.Pharmaceutics · 2026Review
- Artificial intelligence for pediatric neuroimaging.Pediatric radiology · 2026Review
- Artificial intelligence integrated multi-omics and multimodal studies promote the efficacy of neoadjuvant chemotherapy in breast cancer: opportunities, challenges, and future perspectives.Breast cancer research : BCR · 2026Review
- Transforming healthcare through in-body bioelectronic systems.Nature communications · 2026Review
- Epilepsy: Molecular Pathogenesis and Emerging Therapies.MedComm · 2026Review
- Review
- The research progress of wearable digital health technologies in epilepsy management.Acta epileptologica · 2026Review
- Multi-expert consensus annotations of spontaneous and stimulation-induced seizures in stereotactic EEG.medRxiv : the preprint server for health sciences · 2026Article
- AI for precision epilepsy: ASM response prediction needs real-world validation.Annals of medicine and surgery (2012) · 2026Article
- Exploring the Two-Way Role: Biological and Anti-Epileptic Properties of Imidazole and 2-Mercaptobenzimidazole Derivatives.Recent patents on biotechnology · 2026Review
- Multimodal artificial intelligence in epilepsy: antiseizure medication response, epileptogenic zone localization, and surgical outcome prediction.Frontiers in neurology · 2026Review
- Review
- Clinician perspectives on explainability in AI-driven closed-loop neurotechnology.Scientific reports · 2025Article
- Developmental and epileptic encephalopathy with spike-wave activation in sleep: From the 'functional ablation' model to a neurodevelopmental network perspective.Developmental medicine and child neurology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
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 management promises to revolutionize the diagnosis and treatment of this complex disorder. However, translation of AI into neurology clinical practice has not yet been successful, emphasizing the need to consider progress to date and assess challenges and limitations of AI. In this Review, we provide an overview of AI applications that have been developed in epilepsy using a variety of data modalities: neuroimaging, electroencephalography, electronic health records, medical devices and multimodal data integration. For each, we consider potential applications, including seizure detection and prediction, seizure lateralization, localization of the seizure-onset zone and assessment for surgical or neurostimulation interventions, and review the performance of AI tools developed to date. We also discuss methodological considerations and challenges that must be addressed to successfully integrate AI into clinical practice. Our goal is to provide an overview of the current state of the field and provide guidance for leveraging AI in future to improve management of epilepsy.
Indexed as
Identifiers
38720105What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.