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4 articles in GJC
McCalla Aliah, Wang Mengyu, Eslami Mohammad, Kazeminasab Saber, Luo Yan, Rana Hannah et al.
This study found that cup-to-disc ratio (CDR) has ceiling effects and poorly detects early glaucoma damage, especially in screening. Clinicians should interpret CDR values cautiously.
Shi Min, Lokhande Anagha, Tian Yu, Luo Yan, Eslami Mohammad, Kazeminasab Saber et al.
A deep learning model accurately predicted 10-2 visual fields from 24-2 data, enhancing the structure-function relationship in glaucoma. This could improve glaucoma diagnosis.
Pang Yueyin, Tang Melody, Shi Min, Tian Yu, Luo Yan, Elze Tobias et al.
This study found Black and non-English speaking glaucoma patients experience worse and faster visual field loss, especially in the superior hemifield, highlighting disparities needing targeted screening and outreach.
Shi Min, Sun Jessica A, Lokhande Anagha, Tian Yu, Luo Yan, Elze Tobias et al.
Deep learning corrected RNFLT artifacts, significantly improving visual field and glaucoma progression prediction, enhancing the clinical utility of otherwise compromised OCT scans.
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