Clinical trials

Visual impairments significantly impact individuals' activities of daily living (ADL) and quality of life (QoL). While perceptual learning (PL) has shown promise in vision rehabilitation, traditional PL usually involves a protracted training process, and its training effects may sometimes lack ecological validity. This study protocol outlines a two-arm, single-blind, randomized controlled trial to evaluate the efficacy of an innovative virtual reality (VR)-based PL therapy integrated with machine learning algorithms. Twenty participants with visual field deficits will be recruited and randomized in a 1:1 ratio into either the VR training group or a no-intervention control group. The intervention consists of six visits (1-7 days apart), each involving two training tasks (20 - 30 minutes per task). The VR training task is an Ecological Multiple Object Tracking task and a Dual task. Training stimuli are personalized to target each participant's transition zone (1\~20 dB) based on the result of clinical visual field test. A Deep Reinforcement Learning (DRL) framework, specifically the Proximal Policy Optimization (PPO) algorithm, is utilized as an adaptive controller to dynamically modulate task difficulty and maintain participants in an optimal cognitive "flow state". The primary outcome is visual field area improvement (measured by Humphrey Field Analyzer). Secondary outcomes include pre- and post-intervention assessments of visual search, balance ability, fear of falling, ADL, and QoL. It is hypothesized that participants in the VR training group will obtain improvements in primary and secondary outcomes.

This study evaluates a novel attention-based binocular visual search training paradigm designed to improve stereopsis (stereo vision) in individuals with impaired binocular vision. Disruptions in balanced binocular input, such as from strabismus or anisometropia, often lead to deficient stereo vision, causing daily visuomotor limitations. While traditional therapies focus on monocular acuity, they frequently fail to restore stereopsis, especially in adults. The investigators propose a unique dichoptic visual search training method that embeds binocular disparity inside an attention-demanding task, encouraging cooperative binocular integration. Participants aged 18-39 with impaired stereopsis will be randomly assigned in a 1:1 ratio to either the active training group (disparity-embeded task) or the active control group (identical task with zero disparity). Both groups complete 5 training sessions over 5-6 weeks. Assessments will occur at baseline, immediately post-training, and at a 12-week follow-up. The primary objective is to determine if the active training group shows significantly greater improvements in local stereoacuity compared to the control group.

Age-related macular degeneration (AMD), is a debilitating eye disease that causes a loss of central vision. The prevalence of AMD increases exponentially with age and causes a significant impact through both medical expenses and the social and economic costs associated with vision loss. AMD is the global leading cause of blindness among people over the age of 60. Detection of this eye disease at early stages coupled with prompt treatment can prevent vision loss; however, modern diagnosis methods are ineffective at diagnosis of AMD before vision loss occurs. While a range of available treatment options has been effective at slowing vision loss due to AMD, no treatment exists which can recover lost vision. The investigators propose to apply tools developed in quantum information science to diagnose AMD before vision has been affected, drastically improving health outcomes for patients with AMD.

Amblyopia is a developmental anomaly resulting from abnormal visual experiences in early life. Amblyopia causes reduced visual acuity in the absence of a pathology. Adult sensory systems are believed to be structurally invariant beyond early, critical periods of development. However, recent evidence suggest that visual functions in adults with amblyopia can be improved with optical correction alone. This study aims to investigate whether improvements in best corrected visual acuity and other visual functions can result following appropriate optical correction in adults with amblyopia. Functional measures relating to vision, binocular vision, and eye movements will be used to assess the efficacy of refractive correction for improving vision. This study will help us better understand the improvements in visual functions following optical correction, as well as the mechanisms underlying neuroplasticity in adults with amblyopia.