MultimodalCNN-PD: a Parkinson’s disease diagnostics framework using multimodal convolutional neural network

This framework sets a new benchmark for multiclass PD diagnosis, demonstrating strong potential as a clinically deployable AI tool for early detection and personalized management of neurodegenerative diseases.

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Publication Details

Journal
Frontiers in Aging Neuroscience
Published
2026-02-25
DOI
https://doi.org/10.3389/fnagi.2026.1733075
Primary Topic
Parkinson's Disease Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

MultimodalCNN-PD: a Parkinson’s disease diagnostics framework using multimodal convolutional neural network

C.‐I. Meng, Tongle Zhi, Xuan Wang, Umar Muhammad Ibrahim et al.
Frontiers in Aging Neuroscience
Parkinson's Disease Mechanisms and Treatments
article

MultimodalCNN-PD: a Parkinson’s disease diagnostics framework using multimodal convolutional neural network

C.‐I. Meng, Tongle Zhi, Xuan Wang, Umar Muhammad Ibrahim, Haonan Liu
article en

Abstract

This framework sets a new benchmark for multiclass PD diagnosis, demonstrating strong potential as a clinically deployable AI tool for early detection and personalized management of neurodegenerative diseases.

Frontiers in Aging NeuroscienceVol. 18
Nantong University (CN), Yancheng First People's Hospital (CN), Huazhong University of Science and Technology (CN)
Reduced inequalities
Openalex Percentile: Top 48%
Parkinson's Disease Mechanisms and Treatments
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