AIMC Journal:
Acta epileptologica

Showing 1 to 5 of 5 articles

Modern generative large language models in epilepsy care: a scoping review of current applications, challenges, and future directions.

Acta epileptologica
Modern generative large language models (LLMs) are increasingly being evaluated in epilepsy-related clinical tasks, but the evidence remains fragmented and their safe clinical role is uncertain. We conducted a scoping review following the PRISMA-ScR ...

Clinical application of artificial intelligence technology in epilepsy.

Acta epileptologica
Epilepsy is a prevalent neurological disorder, and its inherent complexity and significant interindividual variability pose substantial challenges for clinical diagnosis and treatment. Against this backdrop, the rapid development of artificial intell...

Trends in the studies of pharmacoresistant epilepsy- a review based on literature analysis (2015-2025).

Acta epileptologica
Drug-resistant epilepsy (DRE) is a complex neurological disease that accounts for 30%-40% of all epilepsy cases. Its pathogenesis and treatment have always been research hotspots in this field. In recent years, interdisciplinary research on DRE has g...

The research progress of wearable digital health technologies in epilepsy management.

Acta epileptologica
Epilepsy is one of the most common neurological disorders, characterized by recurrent, unpredictable seizures. Due to the unpredictability of seizures, epilepsy presents unique challenges in monitoring and management. While video electroencephalogram...

Automatic EEG artifact detection using a local-global feature fusion network in time and time-frequency domains.

Acta epileptologica
BACKGROUND: Video electroencephalographies (VEEGs) are often affected by artifacts, which can diminish clinicians' efficiency in interpreting VEEG data and potentially result in diagnostic errors. Conversely, certain ictal VEEG artifacts caused by au...