Machine learning algorithms are applied to OCT scan image data of a patient's retina to assess various eye diseases of the patient, such as ARMD, glaucoma, and diabetic retinopathy. The classification modules for each tested-for disease or condition preferably comprises an ensemble of machine learning algorithms, preferably including both deep learning and traditional machine learning (non-deep learning) algorithms. The results of the analysis can be transmitted back to the facility of the caregiver that used the OCT scanner to scan the patient's retina while the patient is still present at the caregiver's facility for an appointment.
SYSTEM AND METHOD FOR AUTOMATIC ASSESSMENT OF DISEASE CONDITION USING OCT SCAN DATA