Diagnosis of Parkinson's disease (PD) is commonly based on medical observations and
assessment of clinical signs, including the characterization of a variety of motor symptoms …

The purpose of this review is integrating and contextualizing relevant literature on the factors
influencing the adoption of AI in the healthcare industry into a comprehensive framework …

Parkinson's disease is a chronic neurodegenerative disease that affects a large portion of
the population, especially the elderly. It manifests with motor, cognitive and other types of …

Disease diagnosis and monitoring using conventional healthcare services is typically
expensive and has limited accuracy. Wearable health technology based on flexible …

Parkinson's disease (PD) affects a large proportion of elderly people. Symptoms include
tremors, slow movement, rigid muscles, and trouble speaking. With the aging of the …

Parkinson's disease (PD) is a devastating neurological disease that cannot be identified with
traditional plasma experiments, necessitating the development of a faster, less expensive …

Although levodopa remains the most efficacious symptomatic therapy for Parkinson disease
(PD), management of levodopa treatment during the advanced stages of the disease is …

While diagnosing Parkinson's disease (PD), neurologists often use several clinical
manifestations of the subject and rate the severity level based on the Unified Parkinson …

Gait analysis, a way of assessing the manner of walking, is considered a significant criterion
in diagnosing movement disorders. Various factors contribute to the alterations in gait …

Parkinson's disease (PD) is the second most common neurodegenerative disorder, globally
affecting men and women at an exponentially growing rate, with currently no cure. Disease …