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:

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.

Authors

  • Harel Rom
    Laboratory of Early Markers of Neurodegeneration, Neurological Institute, Tel Aviv Sourasky Medical Center, 6 Weizmann Street, Tel Aviv, 64239, Israel.
  • Ori Peleg
    Laboratory of Early Markers of Neurodegeneration, Neurological Institute, Tel Aviv Sourasky Medical Center, 6 Weizmann Street, Tel Aviv, 64239, Israel.
  • Yovel Rom
    AEYE Health, New York, New York, USA.
  • Anat Mirelman
    Sagol Brain Institute Tel-Aviv Medical Center, Tel-Aviv, Israel.
  • Gaddi Blumrosen
    Faculty of Digital Medical Technologies, Holon Institute of Technology (HIT), Holon, Israel.
  • Inbal Maidan
    Laboratory of Early Markers of Neurodegeneration, Neurological Institute, Tel Aviv Sourasky Medical Center, 6 Weizmann Street, Tel Aviv, 64239, Israel. inbalm@tlvmc.gov.il.