Adoption of artificial intelligence (AI) by the medical community has long been anticipated, endorsed by a stream of [machine learning](https://www.sciencedirect.com/topics/computer-science/machine-learning) literature showcasing AI systems that …
Resting-state electroencephalography (RSEEG) is a method under consideration as a potential biomarker that could support early and accurate diagnosis of Parkinson’s disease (PD). RSEEG data is often contaminated by signals arising from other …
Current tests of disease status in Parkinson's disease suffer from high variability, limiting their ability to determine disease severity and prognosis. Event-related potentials, in conjunction with machine learning, may provide a more objective …
Computer-assisted quantification and analysis of postural sway may support identifying individuals affected by Parkinson's disease (PD). Balancing, and its associated postural sway, is a complex process that requires the cooperation of several …
Background: Postural sway may be useful as an objective measure of Parkinson's disease (PD). Existing studies have analyzed many different features of sway using different experimental paradigms. We aimed to determine what features have been used to …
Background: Parkinson disease (PD) is a common neurodegenerative disorder that affects between 7 and 10 million people worldwide. No objective test for PD currently exists, and studies suggest misdiagnosis rates of up to 34%. Machine learning (ML) …