We reviewed foundational concepts in artificial intelligence (AI) and machine learning (ML)
and discussed ways in which these methodologies may be employed to enhance progress …

Physiological, behavioral, and psychological changes associated with neuropsychiatric
illness are reflected in several related signals, including actigraphy, location, word …

Background: Ubiquitous digital technologies such as smartphone sensors promise to
fundamentally change biomedical research and treatment monitoring in neurological …

Digital health technologies enable remote and therefore frequent measurement of motor
signs, potentially providing reliable and valid estimates of motor sign severity and …

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 …

Background Remote monitoring of Huntington disease (HD) signs and symptoms using
digital technologies may enhance early clinical diagnosis and tracking of disease …

Disability in Parkinson's disease (PD) is measured by standardised scales including the
MDS-UPDRS, which are subject to high inter and intra-rater variability and fail to capture …

Background Self-care is essential for people with Parkinson disease (PD) to minimize their
disability and adapt to alterations in physical abilities due to this progressive …

Parkinson's disease is one of the notable neurodegenerative disorders caused by
insufficient production of dopamine which damages the motor skills and voice. Advancement …

Background Slowness of movement, known as bradykinesia, is the core clinical sign of
Parkinson's and fundamental to its diagnosis. Clinicians commonly assess bradykinesia by …