Abstract: A system for testing and quantifying visual field and other visual function information in a head-mounted virtual reality environment, utilizing a directed image formation device for scanning of a flickering image for display to the test subject. A method and an apparatus are also provided for utilizing a central neural network and a central data bank to perform automatic interpretation of the visual function test parameters obtained in a plurality of visual field testing systems, for a plurality of patients, with control and response signals being transmitted via the Internet. The data produced by the testing systems are automatically analyzed and compared with patterns on which the neural network was previously trained, and clinical diagnoses for pathological conditions are thereby suggested to the respective clinician for each patient.

Abstract: A system and method for automatically interpreting the results of visual field tests with a computer programmed to perform a continuously updated protocol derived from the interpretation of numerous visual field tests by experts in interpretation of visual field test results.

Abstract: A method and an apparatus for the performance and autointerpretation via the Internet, or other telemetric vehicle, of the visual function test parameters obtained during interactive visual field screening utilizing a local display screen. Such interactive testing and instantaneous autointerpretation of visual field performance utilizing a local display screen, via telemedicine, are utilized to screen for glaucoma and other neurological disorders affecting the visual system. Telemedicine, such as via the Internet, allows the system to be employed on a world-wide basis, including areas where physicians are not present.

Abstract: A method and an apparatus for utilizing a central neural network and a central data bank to perform automatic interpretation of the visual function test parameters obtained in a plurality of visual field testing systems, for a plurality of patients, with control and response signals being transmitted via the Internet. The data produced by the testing systems are automatically analyzed and compared with patterns on which the neural network was previously trained, and clinical diagnoses for pathological conditions are thereby suggested to the respective clinician for each patient.