论文标题
Shoupa：一种用于帕金森氏病早期诊断的AI系统
Shoupa: An AI System for Early Diagnosis of Parkinson's Disease
论文作者
论文摘要
帕金森氏病（PD）是一种渐进式神经系统疾病，影响了超过580万人，尤其是老年人。由于其症状的复杂性及其与其他神经系统疾病的相似性，早期发现需要神经科医生或PD专家涉及，大多数老年人都无法使用。因此，我们将智能移动设备与AI技术集成在一起。在本文中，我们介绍了开发的PD早期检测系统的框架，该系统结合了评估运动症状和非运动症状的不同任务。借助开发的模型，我们可以帮助用户在非临床环境中准时检测到PD，并找出最严重的症状。预计该结果将进一步用于PD康复指导和其他神经系统疾病的检测。
Parkinson's Disease (PD) is a progressive nervous system disorder that has affected more than 5.8 million people, especially the elderly. Due to the complexity of its symptoms and its similarity to other neurological disorders, early detection requires neurologists or PD specialists to be involved, which is not accessible to most old people. Therefore, we integrate smart mobile devices with AI technologies. In this paper, we introduce the framework of our developed PD early detection system which combines different tasks evaluating both motor and non-motor symptoms. With the developed model, we help users detect PD punctually in non-clinical settings and figure out their most severe symptoms. The results are expected to be further used for PD rehabilitation guidance and detection of other neurological disorders.
