Development and validation of a multimodal automatic interictal epileptiform discharge detection model: a prospective multi-center study
The multimodal IED detection model, which integrates video and EEG features, demonstrated high precision and robustness. The large multi-center validation confirmed its potential for real-world clinical application and the value of video features in IED analysis.
Authors
- Weifang Gao (ORCID: https://orcid.org/0000-0001-7470-0761)
- Nan Lin (ORCID: https://orcid.org/0000-0003-2606-1824)
- Gonglin Yuan (ORCID: https://orcid.org/0000-0002-0998-8807)
- Zaifen Gao
- Xiaoqiu Shao (ORCID: https://orcid.org/0000-0001-5798-7115)
- Qiang Lü (ORCID: https://orcid.org/0009-0001-9287-8333)
- Shengsong Wang
- Lian Li (ORCID: https://orcid.org/0000-0003-4700-1134)
- Peng Hu (ORCID: https://orcid.org/0000-0002-4962-643X)
- Haibo He
- Yisu Dong
- Heyang Sun (ORCID: https://orcid.org/0000-0001-6980-7839)
- Liying Cui (ORCID: https://orcid.org/0009-0004-3725-1871)
- Qi Fang (ORCID: https://orcid.org/0000-0003-4559-6373)
- Lin Wang (ORCID: https://orcid.org/0009-0008-2419-1610)
- Zi Liang (ORCID: https://orcid.org/0009-0003-1418-9537)
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Dalian University of Technology (CN)
- Peking Union Medical College Hospital (CN)
- Beijing Tian Tan Hospital (CN)
- Dalian University (CN)
- DHC Software (China) (CN)
- Beijing Fengtai Hospital (CN)
Publication Details
- Journal
- BMC Medicine
- Published
- 2025-08-15
- DOI
- https://doi.org/10.1186/s12916-025-04316-3
- Citations
- 3
- Primary Topic
- Epilepsy research and treatment
- Type
- article
- Field-Weighted Citation Impact
- 4.41