Peer-reviewedCC BY-NC-ND 4.0Communications Medicine
Epilepsy domain adapted large language models enhance epileptogenic zone prediction from seizure semiology
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BibTeX
@article{yang2026epilepsy,
title = {{Epilepsy domain adapted large language models enhance epileptogenic zone prediction from seizure semiology}},
author = {Shihao Yang and Yen-Cheng Shih and Xinglong Ju and Shasha Wu and Neel Fotedar and Hai Sun and Xiaochen Xian and Jun-En Ding and Danilo Bernardo and Vikram R. Rao and Ioannis Karakis and Felix Rosenow and Yu Zhang and Patrick Kwan and Yo-Tsen Liu and Feng Liu},
journal = {Communications Medicine},
year = {2026},
month = oct,
doi = {10.1038/s43856-026-01883-1},
url = {https://www.nature.com/articles/s43856-026-01883-1},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - Epilepsy domain adapted large language models enhance epileptogenic zone prediction from seizure semiology
AU - Shihao Yang
AU - Yen-Cheng Shih
AU - Xinglong Ju
AU - Shasha Wu
AU - Neel Fotedar
AU - Hai Sun
AU - Xiaochen Xian
AU - Jun-En Ding
AU - Danilo Bernardo
AU - Vikram R. Rao
AU - Ioannis Karakis
AU - Felix Rosenow
AU - Yu Zhang
AU - Patrick Kwan
AU - Yo-Tsen Liu
AU - Feng Liu
PY - 2026
DA - 2026/10/19
JO - Communications Medicine
DO - 10.1038/s43856-026-01883-1
UR - https://www.nature.com/articles/s43856-026-01883-1
SN - 2730-664X
ER -