Development and validation of the Artificial Intelligence-Proliferative Vitreoretinopathy (AI-PVR) Insight system for deep learning-based diagnosis and postoperative risk prediction in proliferative vitreoretinopathy using multimodal fundus imaging
The AI-PVR Insight system has successfully achieved automatic identification, grading, and postoperative risk assessment of PVR, providing clinical physicians with support in formulating more targeted treatment plans and delivering critical insights for the effective prevention and management of PVR progression.
Authors
- Qi Wan (ORCID: https://orcid.org/0000-0002-0796-7455)
- Weiguo Qin
- Zhipeng You
- Fan Gan (ORCID: https://orcid.org/0000-0001-9282-7803)
- Kangcheng Liu (ORCID: https://orcid.org/0000-0002-8387-3565)
- Xiaonan Li (ORCID: https://orcid.org/0000-0002-4193-143X)
- Teng Liu (ORCID: https://orcid.org/0000-0001-5862-0518)
- Huimin Fan
- Jian Cao (ORCID: https://orcid.org/0000-0003-4349-6790)
Institutions
- Nanchang University (CN)
- People's Liberation Army 401 Hospital (CN)
- Jiangxi Provincial People's Hospital (CN)
- Chinese People's Liberation Army (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-04-01
- DOI
- https://doi.org/10.21037/qims-24-1644
- Citations
- 4
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 5.44