Ear-Keeper: A cross-platform artificial intelligence system for rapid and accurate ear disease diagnosis
Best-EarNet offers an accurate, efficient, and interpretable solution for ear disease classification. Its real-time performance and cross-platform deployment through Ear-Keeper support both clinical practice and community-level screening, with strong potential for early detection and intervention.
Authors
- Yubiao Yue (ORCID: https://orcid.org/0000-0001-6348-555X)
- M. Zhang
- Wenhai Luo (ORCID: https://orcid.org/0000-0003-2572-1480)
- Feiyan Lu
- Jingyong Shi
- Fan Zhang (ORCID: https://orcid.org/0000-0003-1680-3839)
- Xinyu Zeng (ORCID: https://orcid.org/0009-0002-6858-1457)
- Tong Liu (ORCID: https://orcid.org/0000-0003-3842-862X)
- Zhenzhang Li
- Guang Wang
Institutions
- Fujian Normal University (CN)
- Foshan Hospital of TCM (CN)
- First People's Hospital of Foshan (CN)
- Kangmei Pharmaceutical (China) (CN)
- Guangdong Polytechnic Normal University (CN)
- Zhongshan Hospital (CN)
- Foshan Second People's Hospital (CN)
- Yichang Central People's Hospital (CN)
- Shenzhen Second People's Hospital (CN)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Digital Health
- Published
- 2026-01-01
- DOI
- https://doi.org/10.1177/20552076251412635
- Primary Topic
- Ear Surgery and Otitis Media
- Type
- article
- Field-Weighted Citation Impact
- 0.00