Systems, methods, and computer program products for predicting and detecting the onset of retinal diseases are provided. A method of detecting glaucoma includes: pre-training at least one neural network model of a plurality of neural network models based on a small data classifier; training the plurality of neural network models based on a plurality of indications of glaucoma based on retinal data including at least two of a peripapillary atrophy value, a disc hemorrhage value, and a blood vessel structure analysis value; simultaneously generating a risk score associated with each of the plurality of indications based on the trained plurality of neural network models; combining the risk score associated with each of the plurality of indications based on a classification model to produce a likelihood of glaucoma; and determining whether glaucoma is present based on the likelihood of glaucoma.