AI-driven software was able to differentiate between typical and atypical forms of Parkinson's disease with 96% accuracy. | ...

Across two cohorts, the Automated Imaging Differentiation for Parkinsonism (AIDP) machine learning model distinguished ...

Existing research indicates that the accuracy of a Parkinson's disease diagnosis hovers between 55% and 78% in the first five ...

University of Florida researchers have led a multicenter study demonstrating that Automated Imaging Differentiation for ...

Existing research indicates that the accuracy of a Parkinson's disease diagnosis hovers between 55% and 78% in the first five years of assessment. That's partly because Parkinson's sibling movement ...

Diagnosing Parkinson’s disease can be challenging, especially in its early stages. Studies show that doctors get it right ...

Professor Karlo Malaga leads research focusing on pinpointing specific areas in the subthalamic region where deep brain ...

A new study led by a Bucknell biomedical engineering professor has identified key insights into optimizing deep brain stimulation for Parkinson’s disease patients to help alleviate symptoms such as ...

People with Alzheimer's and Parkinson's disease may experience loss of smell long before other symptoms appear. One of the ...

Parkinson's disease is the second most common degenerative brain disease after dementia. Patients with Parkinson's disease ...

Existing research indicates that the accuracy of a Parkinson’s disease diagnosis hovers between 55% and 78% in the first five years of assessment. That’s partly because Parkinson’s sibling movement ...