Abstract: A method for automatically measuring changes in retinal, retinal pigment epithelial, or choroidal disease includes retrieving a set of images of a fundus and selecting a plurality of images from the set of images. The plurality of images are co-registered and pre-processed such that the quality, contrast, and gain of each of the plurality of images is made similar. Then, a comparison is made between the plurality of images to determine a change in retinal, retinal pigment epithelial, or choroidal disease, wherein the change in retinal, retinal pigment epithelial, or choroidal disease is determined based on various disease metrics. Finally, an indication of the change in retinal, retinal pigment epithelial, or choroidal disease is generated for display to a user on a computing device.

Abstract: A method for automatically diagnosing inherited retinal disease includes receiving a plurality of dissimilar types of data and pre-processing at least one of the plurality of dissimilar types of data to generate a feature vector descriptive of a patient. Further, the method includes, for each of the plurality of dissimilar types of data: (i) comparing portions of the respective type of data or a corresponding feature vector to data in a mutation proven database; (ii) generating a ranked list of matches between the patient and the plurality of patients with known diagnoses; and (iii) storing the ranked list of matches in an output database. A diagnosis routine then aggregates a plurality of ranked lists of matches in the output database to generate a ranked list of genetic diagnoses corresponding to the patient and sends an indication of the ranked list of genetic diagnoses to the end user device.

Abstract: A method for automatically diagnosing inherited retinal disease includes receiving a plurality of dissimilar types of data and pre-processing at least one of the plurality of dissimilar types of data to generate a feature vector descriptive of a patient. Further, the method includes, for each of the plurality of dissimilar types of data: (i) comparing portions of the respective type of data or a corresponding feature vector to data in a mutation proven database; (ii) generating a ranked list of matches between the patient and the plurality of patients with known diagnoses; and (iii) storing the ranked list of matches in an output database. A diagnosis routine then aggregates a plurality of ranked lists of matches in the output database to generate a ranked list of genetic diagnoses corresponding to the patient and sends an indication of the ranked list of genetic diagnoses to the end user device.

Abstract: A method for for automatically measuring changes in retinal, retinal pigment epithelial, or choroidal disease includes retrieving a set of images of a fundus and selecting a plurality of images from the set of images. The plurality of images are co-registered and pre-processed such that the quality, contrast, and gain of each of the plurality of images is made similar. Then, a comparison is made between the plurality of images to determine a change in retinal, retinal pigment epithelial, or choroidal disease, wherein the change in retinal, retinal pigment epithelial, or choroidal disease is determined based on various disease metrics. Finally, an indication of the change in retinal, retinal pigment epithelial, or choroidal disease is generated for display to a user on a computing device.