Jin Zi

2 articles in GJC

Predicting the cognitive impairment with multimodal ophthalmic imaging and artificial neural network for community screening.

Jin Zi, Chen Xuhui, Jiang Chunxia, Feng Ximeng, Zou Da, Lu Yanye et al.

Br J OphthalmolNov 20241 citationsCross-Sectional Study

This study found that AI analyzing multimodal ophthalmic imaging accurately predicted cognitive impairment, suggesting its potential for high-performance community screening.

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Identification of peripheral anterior synechia with anterior segment optical coherence tomography.

Dai Yingying, Zhang Shaodan, Shen Meixiao, Jin Zi, Zhou Yuheng, Ye Shuling et al.

Graefes Arch Clin Exp OphthalmolMay 20214 citationsObservational Study

This study developed an AS-OCT model using angle changes after light exposure to identify peripheral anterior synechiae (PAS) in angle closure. This model accurately detects PAS, offering a non-invasive clinical tool.

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Jin Zi

Predicting the cognitive impairment with multimodal ophthalmic imaging and artificial neural network for community screening.

Identification of peripheral anterior synechia with anterior segment optical coherence tomography.