Application of Machine Learning, Augmented Reality Technologies to Living with Macular Disease

黄斑疾病是英国与年龄相关的视力残疾和失明的主要原因。在许多情况下，年龄相关性黄斑变性（AMD）可导致中心视力的完全丧失。然而，目前的辅助技术必须经过漫长的试验才能评估其有效性。为了改进这一点，我建议使用现代人工智能方法对人类视觉系统的部分进行模拟。模拟整个视觉系统是不可行的，但探索当前人工智能技术的局限性可能允许模拟AMD对视觉的影响。然后，这可以允许有关图像操作的实验，以改善患有AMD的人的视觉能力。制作人类视觉的工作模型将使我们能够在临床试验之前模拟潜在的好处，从而可能消除许多不可行的解决方案并减少浪费的努力。

Macular disease is a leading cause of visual disability and blindness related to age in the UK. In many cases, age-related macular degeneration (AMD) can result in the total loss of central vision. However, currently assistive technologies must be put through lengthy trials to assess their effectiveness. To improve upon this, I propose to model portions of the human visual system in silico, using modern AI methods. Modelling the entire visual system is not feasible but exploring the limits of current AI technologies may allow for modelling the effects of AMD on vision. This could then allow for experimentation regarding the manipulation of images to improve the visual capabilities of those suffering from AMD. Producing a working model of human vision will allow us to simulate potential benefits prior to clinical trials, potentially eliminating many unworkable solutions and reducing wasted effort.