Background Markerless motion capture (MMC) technology has been developed to avoid the
need for body marker placement during motion tracking and analysis of human movement …

Deep brain stimulation (DBS) has advanced treatment options for a variety of neurologic and
neuropsychiatric conditions. As the technology for DBS continues to progress, treatment …

Parkinson's disease (PD) is a common neurological disorder, with bradykinesia being one of
its cardinal features. Objective quantification of bradykinesia using computer vision has the …

Objective The worldwide prevalence of Parkinson's disease is increasing. There is urgent
need for new tools to objectively measure the condition. Existing methods to record the …

Introduction Although clinician-based assessment through standardized clinical rating
scales is currently the gold standard for quantifying motor impairment in Parkinson's disease …

We present an artificial intelligence (AI) system to remotely assess the motor performance of
individuals with Parkinson's disease (PD). In our study, 250 global participants performed a …

Accurate 3D tracking of hand and fingers movements poses significant challenges in
computer vision. The potential applications span across multiple domains, including human …

Background The worldwide prevalence of dementia is rapidly rising. Alzheimer's disease
(AD), accounts for 70% of cases and has a 10–20-year preclinical period, when brain …

Adoption of artificial intelligence (AI) by the medical community has long been anticipated,
endorsed by a stream of machine learning literature showcasing AI systems that yield …

Objective: This study aimed to prove the concept of a new optical video-based system to
measure Parkinson's disease (PD) remotely using an accessible standard webcam …