AI-based 3D Anthropometric Modeling for Automated Assessment and Grading of Dystonia Patients

Machine learning researcher Shaurjya Mandal explains how AI can help recognize difficult-to-diagnose dystonias by breaking down movements across each joint in hundreds of thousands of videos. This highlighted research was presented during the 2024 International Congress of Parkinson’s Disease and Movement Disorders (mdscongress.org). Authors: S. Mandal
K. Dev Nayar
N. Ganza
S. Begalan
C. Go
A. Hunt
P. Acuna
N. Sharma (Boston, USA). Research was funded by Massachusetts General Hospital Collaborate Center for x-Linked Dystonia Parkinsonism. Read the full abstract at mdsabstracts.org.