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AI technology improves Parkinson's diagnoses

ScienceDaily
Summary
Nutrition label

81% Informative

AI-driven software is 96% accurate at diagnosing Parkinson's.

Software will help clinicians differentially diagnose Parkinson's disease and related conditions.

Automated Imaging Differentiation for Parkinsonism is an automated MRI processing and machine learning software.

Software uses diffusion-weighted MRI, which measures how water molecules diffuse in the brain.

David E. Vaillancourt , Angelos Barmpoutis , Samuel S. Wu , Jesse C. DeSimone , Marissa Schauder , Robin Chen , Todd B. Parrish , Wei-en Wang , Eric Molho , John C. Morgan , David K. Simon , Burton L. Scott , Liana S. Rosenthal , Stephen N. Gomperts , Rizwan S. Akhtar , David Grimes , Sol De Jesus , Natividad Stover , Ece Bayram , Adolfo Ramirez-Zamora , Stefan Prokop , Ruogu Fang .

VR Score

90

Informative language

96

Neutral language

71

Article tone

formal

Language

English

Language complexity

85

Offensive language

not offensive

Hate speech

not hateful

Attention-grabbing headline

not detected

Known propaganda techniques

not detected

Time-value

long-living

External references

no external sources

Source diversity

no sources

Affiliate links

no affiliate links

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