Deep Learning to Differentiate Parkinsonian Syndromes: From Proof of Concept to Clinical Trust

Authors

QinXiu Zhang (ORCID: https://orcid.org/0000-0002-3633-7620)
Hui Zhang (ORCID: https://orcid.org/0000-0002-4198-2042)
Yuan Li (ORCID: https://orcid.org/0000-0001-6570-1527)
Wei Mao (ORCID: https://orcid.org/0000-0002-7594-8686)

Institutions

Capital Medical University (CN)

Publication Details

Journal: Movement Disorders
Published: 2025-12-04
DOI: https://doi.org/10.1002/mds.70139
Primary Topic: Machine Learning in Healthcare
Type: article
Field-Weighted Citation Impact: 0.00

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article

Deep Learning to Differentiate Parkinsonian Syndromes: From Proof of Concept to Clinical Trust

QinXiu Zhang, Hui Zhang, Yuan Li, Wei Mao

Dec 4, 2025

Movement Disorders

Machine Learning in Healthcare

article

Deep Learning to Differentiate Parkinsonian Syndromes: From Proof of Concept to Clinical Trust

QinXiu Zhang, Hui Zhang, Yuan Li, Wei Mao

December 4, 2025article en

Abstract

No abstract available for this paper.

Movement DisordersVol. 41(1)

Capital Medical University (CN)

Openalex Percentile: Top 79%

Machine Learning in Healthcare

DOI Source OpenAlex

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Deep Learning to Differentiate Parkinsonian Syndromes: From Proof of Concept to Clinical Trust — QinXiu Zhang, Hui Zhang, et al. · Movement Disorders (2025) | TGRS Research Map | TGRS