Analysis of anterior segment in primary angle closure suspect with deep learning models
PACS patients have distinct anatomical characteristics compared with health controls. AI models for PACS screening are reliable and powerful, equivalent to experienced ophthalmologists.
Authors
- Xue Fang (ORCID: https://orcid.org/0000-0001-8946-6621)
- Ziwei Fu
- Jun Feng (ORCID: https://orcid.org/0000-0002-0706-2103)
- Jianping Wang (ORCID: https://orcid.org/0000-0002-6787-5894)
- Hua Zhong (ORCID: https://orcid.org/0009-0008-3685-5664)
- M. Zhang (ORCID: https://orcid.org/0000-0001-8659-5727)
- Jingni Yu
- Jianrong Liu (ORCID: https://orcid.org/0000-0001-8163-7529)
- Yuan He (ORCID: https://orcid.org/0000-0002-6885-1341)
- Ruxue Zhang (ORCID: https://orcid.org/0000-0002-2518-6185)
- Rui Shi
- Jinwei Xi
- Zhi Ji
- Xiaoli Pu
- Yanrong Wang (ORCID: https://orcid.org/0009-0002-4649-1856)
Institutions
- Xi'an University of Architecture and Technology (CN)
- Shanxi Medical University (CN)
- Kunming Medical University (CN)
- Northwest University (CN)
- Shaanxi Provincial People's Hospital (CN)
- Yan'an University (CN)
- Xi'an Medical University (CN)
- First Affiliated Hospital of Kunming Medical University (CN)
- Xian Yang Central Hospital (CN)
- Neurological Surgery (US)
- Shanxi Provincial People’s Hospital (CN)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2024-09-09
- DOI
- https://doi.org/10.1186/s12911-024-02658-1
- Citations
- 4
- Primary Topic
- Glaucoma and retinal disorders
- Type
- article
- Field-Weighted Citation Impact
- 2.15
Funders
- National Natural Science Foundation of China
- Education Department of Shaanxi Province
- Yakult Bio-Science Foundation