Remote clinical decision support tool for Parkinson's disease assessment using a novel approach that combines AI and clinical knowledge.
Journal:
BMC medical informatics and decision making
Published Date:
Aug 7, 2025
Abstract
BACKGROUND: Early diagnosis of Parkinson's disease (PD) can assist in designing efficient treatments. Reduced facial expressions are considered a hallmark of PD, making advanced artificial intelligence (AI) image processing a potential non-invasive clinical decision support tool for PD detection. This study aims to determine the sensitivity of image-to-text AI, which matches facial frames recorded in home settings with descriptions of PD facial expressions, in identifying patients with PD.