青光眼是一类慢性退行性视神经疾病的总称，一经诊断，需要终身干预。随访了解青光眼的进展，及时调整治疗方案，对维持患者的视功能至关重要。然而，当前无论是青光眼结构或功能的分析，都难以真实反映青光眼的进展变化情况。针对这一问题，本研究拟在课题组前期工作的基础上，收集并标注1000例青光眼患者序列视野、OCT和眼底视神经照片结果，建立多模态影像数据库；同时建立卷积神经网络-长短期记忆单元网络模型，使用数据库进行训练和优化，经过模型验证，对视野、OCT和眼底视神经照片三种模态图像数据分别建立深度神经网络预测模型，联合三个模型最终产生模型预测结果。本研究通过深度神经网络与青光眼大数据相结合，形成新的人工智能辅助的青光眼进展分析方法，减少主观偏倚、提高诊断效力，缩短基层医生的学习曲线，为临床评估青光眼进展提供依据，使得更多的青光眼患者能够得到更好的治疗，将大大缓解青光眼盲给我国带来的大量社会和经济负担。

Glaucoma is a group of progressive optic neuropathies that have in common a slow progressive degeneration of retinal ganglion cells and their axons, resulting in a distinct appearance of the optic disc and a concomitant pattern of visual loss. Once glaucoma is diagnosed, lifelong intervention is required. As glaucomatous visual function damage is irreversible, early detection of impairment is essential to attempt to reduce or halt visual function progression by controlling intraocular pressure. However, at present, whether using the analysis of the visual field (functional data) or the thickness of the retinal nerve fiber layer (structural data), it is difficult to truly detect the progression of glaucoma. In response to this problem, the present study intends to collect and label 1000 cases of glaucoma patient with sequence visual field, OCT and fundus photogrphy results, establish a multimodal image database. We also setup a Convolutional Neural Network-long short-term memory (CNN-LSTM) and trained and optimized using the database. After the verification, the deep neural network prediction models are established for the three modal image data of visual field, OCT and optic nerve photographs. Then the three models are combined to produce the model prediction results. This study combines deep neural network and glaucoma big data to form a new artificial intelligence-assisted glaucoma progression analysis method, which reduces subjective bias, improves diagnostic efficiency, shortens the learning curve of primary doctors, and provides a basis for clinical evaluation of glaucoma progression, making more glaucoma patients can get better treatment, which will greatly alleviate the large social and economic burden that glaucoma blindness brings to China.