Neurologic Dysfunction Assessment in Parkinson Disease Based on Fundus Photographs Using Deep Learning.

ABSTRACT:

Importance

Until now, other than complex neurologic tests, there have been no readily accessible and reliable indicators of neurologic dysfunction among patients with Parkinson disease (PD). This study was conducted to determine the role of fundus photography as a noninvasive and readily available tool for assessing neurologic dysfunction among patients with PD using deep learning methods.

Objective

To develop an algorithm that can predict Hoehn and Yahr (H-Y) scale and Unified Parkinson's Disease Rating Scale part III (UPDRS-III) score using fundus photography among patients with PD.

Design, settings, and participants

This was a prospective decision analytical model conducted at a single tertiary-care hospital. The fundus photographs of participants with PD and parti

SUBMITTER: Ahn S 

PROVIDER: S-EPMC9912166 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature