AI Video Analysis in Parkinson's Disease: A Systematic Review of the Most Accurate Computer Vision Tools for Diagnosis, Symptom Monitoring, and Therapy Management.

ABSTRACT: Background. Clinical assessment of Parkinson's disease (PD) is limited by high subjectivity and inter-rater variability. Markerless video analysis, namely Computer Vision (CV), offers objective and scalable characterization of motor signs. We systematically reviewed CV technologies suited for PD diagnosis, symptom monitoring, and treatment management. Methods. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we searched PubMed for articles published between 1 January 1984 and 9 May 2025. We used the following search strategy: ("Parkinson Disease" [MeSH Terms] OR "parkinson's disease" OR "parkinson disease") AND ("computer vision" OR "video analysis" OR "pose estimation" OR "OpenPose" OR "DeepLabCut" OR "OpenFace" OR "YOLO" OR "Media

SUBMITTER: di Biase L 

PROVIDER: S-EPMC12568243 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature