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4 articles in GJC
Hwang Elizabeth E, Chen Dake, Han Ying, Jia Lin, Shan Jing
A multimodal AI network integrating fundus photos, OCT, and visual fields significantly improved glaucoma detection accuracy over single modalities, offering a more robust clinical diagnostic tool.
Chen Dake, Han Ying, Duncan Jacque, Jia Lin, Shan Jing
This study used synthetic images to expand scarce glaucoma datasets, improving AI detection of optic neuropathy. This helps overcome data limitations for AI development in ophthalmology.
Qiao Chunyan, Zhang Hui, Cao Kai, Tian Jiaxin, Chung Tham Yih, Shan Jing et al.
Chinese glaucoma surgery trends show a significant decrease in trabeculectomy and an increase in combined cataract-glaucoma procedures and internal drainage, guiding resource allocation and training.
Shan Jing, Pardeshi Anmol, Jiang Xuejuan, Richter Grace M, McKean-Cowdin Roberta, Varma Rohit et al.
This study found current AS-OCT imaging conventions misrepresent angle closure anatomy. A multi-image approach, starting at 25°-205°, better captures biometric means and ranges, improving diagnostic accuracy.
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