Advances in AI-Driven EEG Analysis for Neurological and Oculomotor Disorders: A Systematic Review
Faisal Mehmood, Sajid Ur Rehman, Asif Mehmood, Young-Jin Kim · 2025
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Description
Faisal Mehmood and co-authors review how artificial intelligence is used to read brain wave recordings in brain and eye movement disorders, in work published in 2025. Brain wave tests record electric signals from the scalp and are safe and painless. Paired with learning algorithms, they may help diagnose and track disease.
The review followed standard rules for such reviews and gathered 15 studies from the past decade. The studies used a range of models, from classic algorithms to deep networks that learn complex patterns in the signals. The authors track trends in how signals are prepared, how models are built, and how results are checked. They warn that small samples, mixed datasets, and weak outside testing still limit clinic use. Larger shared datasets and stricter checks are needed.
Catalog record
| CREATOR | Faisal Mehmood, Sajid Ur Rehman, Asif Mehmood, Young-Jin Kim |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 61 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |