Diagnostic Aid Software for Visual Field Test

描述（由申请人提供）：视野（VF）测试是一种广泛使用的非侵入性技术，用于评估视觉通路的病理或功能障碍。VF试验与其他诊断方法一起用于青光眼早期阶段的检测和跟踪其进展。早期发现至关重要，因为青光眼导致的失明在几乎所有病例中都是可以预防的，只要在进展早期进行治疗。然而，VF测试固有的主观性使得即使是熟练的从业者也很难解释它。需要一种自动化的决策辅助工具来促进和标准化解释任务。

DESCRIPTION (provided by applicant): Visual Field (VF) test is a widely used, noninvasive technique for evaluating pathology or dysfunction in the visual pathways. The VF test, in conjunction with other diagnostics, is used for detection of early stages of glaucoma and for following its progression. Early detection is critical as blindness from glaucoma is preventable in nearly all cases, provided treatment is administered early in the progression. However, the inherent subjectivity of the VF test makes it often difficult to interpret even for a skilled practitioner. There is a need for automated decision aid tool that will facilitate and standardize the interpretation task. In Phase 1 of this project, IAC will design and implement novel software algorithms to automate the interpretation of VF test data for detection of glaucoma. The software will classify VF test data into normal, borderline glaucomatous, glaucomatous and unknown (not normal or glaucomatous). The aim is to provide classification performance close to that of a highly skilled human expert. The emphasis will be on the detection of early stages of glaucoma. In addition to the classification output, the software will produce a set of comprehensive rules that will explain the decision path leading to the suggested diagnosis.