New Advance on Glaucoma Detection via AI
Resource: Clinical Research Center, ZOC
Written by: Xiang Chen, Clinical Research Center, ZOC
Proofread by: Jiawei Wang
Reviewed by: Xiaoling Liang
Edited by: Xianjing Wei
Recently, the world's top-notch Ophthalmic Journal "Ophthalmology" (Impact Factor 12.079) published a clinical article regarding enhanced Artificial Intelligent (AI) for diagnosing glaucoma based on Multi-modal Machine Learning using visual field and OCT. This is one of the latest significant achievements made by Prof. Xiulan Zhang’s team after consecutive 8 major publications at NPJ Digital Medicine, Medical Image Analysis et al in the past 3 years towards using AI for better glaucoma diagnosis. It is reported that it is the first time “Ophthalmology” published an article in the field of applying Multi-modal Machine Learning for glaucoma.
Original article linkage:
https://www.sciencedirect.com/science/article/abs/pii/S0161642021005650
Prof. Xiulan Zhang’s research team