ReviewJournal of Parkinson's disease2021
Video-Based Analyses of Parkinson's Disease Severity: A Brief Review.
Review in Journal of Parkinson's disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
45 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Effects of Telehealth Interventions for People With Parkinson Disease: Systematic Review and Meta-Analysis of Randomized Controlled Trials.JMIR mHealth and uHealth · 2026Pooled it
- The Role of Deep Learning and Gait Analysis in Parkinson's Disease: A Systematic Review.Sensors (Basel, Switzerland) · 2024Pooled it
- NeuroSift for Task-Aware Quality Assurance of Multimedia Data in Remote Parkinson Disease Assessment: Machine Learning Model Development and Validation Study.Journal of medical Internet research · 2026Article
- Tracking the longitudinal progression of Bradykinesia in Parkinson's disease from videos using VisionMD.Journal of Parkinson's disease · 2026Article
- From Prototype to Clinical Workflow: Co-Developing a Wearable Hypomimia System for Parkinson's Disease.Sensors (Basel, Switzerland) · 2026Article
- Validation of remote multimodal AI screening for Parkinson disease across diverse settings.Communications medicine · 2026Article
- Automatic and explainable assessment for Parkinson's disease by video-based human motion understanding.Journal of neuroengineering and rehabilitation · 2026Article
- Wearable sensors for monitoring drug pharmacokinetics in patients with Parkinson's disease.Scientific reports · 2026Article
- Smartphone videos are a scalable tool for gait evaluation in Parkinson's disease.NPJ digital medicine · 2026Article
- Video-based machine learning models for predicting deep brain stimulation outcomes in Parkinson's disease patients.NPJ Parkinson's disease · 2026Article
- EEG Sensor-Based Parkinson's Disease Detection Using a Multi-Domain Feature Fusion Network.Sensors (Basel, Switzerland) · 2025Article
- Computer vision uncovers three fundamental dimensions of levodopa-responsive motor improvement in Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Medication versus globus pallidus internus deep brain stimulation in Parkinson's disease with deep learning video analysis of finger tapping.Scientific reports · 2025Observational
- "The Machine Will See You Now": A Clinician's Perspective on Artificial "Intelligence" In Clinical Care.Movement disorders clinical practice · 2025Article
- Improving reliability of movement assessment in Parkinson's disease using computer vision-based automated severity estimation.Journal of Parkinson's disease · 2025Article
- VisionMD: an open-source tool for video-based analysis of motor function in movement disorders.NPJ Parkinson's disease · 2025Article
- Severity Classification of Parkinson's Disease via Synthesis of Energy Skeleton Images from Videos Produced in Uncontrolled Environments.Diagnostics (Basel, Switzerland) · 2024Article
- What the trained eye cannot see: Quantitative kinematics and machine learning detect movement deficits in early-stage Parkinson's disease from videos.Parkinsonism & related disorders · 2024Article
- Artificial Intelligence and Multiple Sclerosis.Current neurology and neuroscience reports · 2024Review
- Interpretable video-based tracking and quantification of parkinsonism clinical motor states.NPJ Parkinson's disease · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Remote and objective assessment of the motor symptoms of Parkinson's disease is an area of great interest particularly since the COVID-19 crisis emerged. In this paper, we focus on a) the challenges of assessing motor severity via videos and b) the use of emerging video-based Artificial Intelligence (AI)/Machine Learning techniques to quantitate human movement and its potential utility in assessing motor severity in patients with Parkinson's disease. While we conclude that video-based assessment may be an accessible and useful way of monitoring motor severity of Parkinson's disease, the potential of video-based AI to diagnose and quantify disease severity in the clinical context is dependent on research with large, diverse samples, and further validation using carefully considered performance standards.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.