The Effect of Virtual Reality and Prediction in Visual Field Test

Abstract

Visual field testing is the gold standard for evaluating a patient’s visual field. Visual field testing is required for monitoring and diagnosis of several disorders, including glaucoma, which affects more than 80 million individuals. While the patient is fixated at a certain place, light of various luminosities is sent to fixed locations, and the sensitivities to light at each position are calculated by recording the patient’s responses to observed stimuli. Virtual reality headsets have just begun to be used to conduct visual field assessments due to their design and digital displays. However, because the testing takes so long, patients become fatigued, which reduces cooperation and test accuracy. It also restricts the number of tests a clinic may do in a single day. The number of testable point locations is expanded using a digital screen in this article, and the effect of selecting an optimal subset of sites, which is discovered using a reinforcement learning approach to reduce test length, is studied. In addition, the impact of employing predicted future visual field test results in testing on the test time is compared to traditional testing procedures.