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Epilepsy

MRI-based deep learning for TLE diagnosis

Nature Reviews Neurology volume 19, page 197 (2023)Cite this article

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Neuroimaging abnormalities in individuals with temporal lobe epilepsy (TLE) can be difficult to identify by visual inspection. In a new study, researchers developed a convolutional neural network algorithm to detect TLE-related abnormalities in T1-weighted MRI scans. The algorithm was tested on scans from 157 participants with medial TLE, 73 participants with early Alzheimer disease and 251 healthy individuals. The model could distinguish TLE with 90.45% accuracy, demonstrating its potential for use in the radiological assessment of epilepsy.

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  1. Nature Reviews Neurology http://www.nature.com/nrneurol/

    Lisa Kiani

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  1. Lisa Kiani
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Correspondence to Lisa Kiani.

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Kiani, L. MRI-based deep learning for TLE diagnosis. Nat Rev Neurol 19, 197 (2023). https://doi.org/10.1038/s41582-023-00798-y

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  • DOI: https://doi.org/10.1038/s41582-023-00798-y

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