ArticleNPJ Parkinson's disease2025
A novel fusion architecture for detecting Parkinson's Disease using semi-supervised speech embeddings.
Article in NPJ Parkinson's disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
7 citing papers in PubMed.
- NeuroSift for Task-Aware Quality Assurance of Multimedia Data in Remote Parkinson Disease Assessment: Machine Learning Model Development and Validation Study.Journal of medical Internet research · 2026Article
- Multimodal Remote Digital Phenotyping for Detecting and Tracking Early Parkinsonian Change in LRRK2 Carriers.Research square · 2026Article
- Validation of remote multimodal AI screening for Parkinson disease across diverse settings.Communications medicine · 2026Article
- Beyond Accuracy: Enhancing Parkinson's Diagnosis with Uncertainty Quantification of Machine Learning Models.Artificial intelligence in healthcare : second International Conference, AIiH 2025, Cambridge, UK, September 8-10, 2025, Proceedings. Part I. International Conference on Artificial Intelligence in Healthcare (2nd : 2025 : Cambridge, Eng... · 2026Article
- Voice-Based Detection of Parkinson's Disease Using Machine and Deep Learning Approaches: A Systematic Review.Bioengineering (Basel, Switzerland) · 2025Review
- Speech Markers of Parkinson's Disease: Phonological Features and Acoustic Measures.Brain sciences · 2025Article
- Multi-Channel Spectro-Temporal Representations for Speech-Based Parkinson's Disease Detection.Journal of imaging · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.