Abstract: Systems and methods for improving the reliability of glaucoma diagnosis and progression analysis are described. The measurements made from one type of diagnostic device are adjusted based on another measurement using a priori knowledge of the relationship between the two measurements including the relationship between structure and function, knowledge of disease progression, and knowledge of instrument performance at specific locations in the eye. The adjusted or fused measurement values can be displayed to the clinician, compared to normative data, or used as input in a machine learning classifier to enhance the diagnostic and progression analysis of the disease.

Abstract: Systems and methods for improving the reliability of glaucoma diagnosis and progression analysis are described. The measurements made from one type of diagnostic device are adjusted based on another measurement using a priori knowledge of the relationship between the two measurements including the relationship between structure and function, knowledge of disease progression, and knowledge of instrument performance at specific locations in the eye. The adjusted or fused measurement values can be displayed to the clinician, compared to normative data, or used as input in a machine learning classifier to enhance the diagnostic and progression analysis of the disease.

Abstract: The invention relates to visual field tests, wherein a plurality of visual stimuli are successively presented to a test subject and the responses from the test subject are recorded in order to determine the test subject's perception of visual stimuli. With the aid of a confidence level function and the recorded responses, at least two visual field test values of different confidence levels are calculated. A result of the visual field test and an indication of the confidence thereof, which are based on the two visual field test values of each test location, are displayed to the user.