What question did this study set out to answer?

To systematically evaluate the performance, data quality, and computational challenges of artificial intelligence and machine learning models used for early voice-based detection of Parkinson's disease and Amyotrophic Lateral Sclerosis.

August 16, 2026Wiley Interdisciplinary Reviews Data Mining and Knowledge DiscoveryOpen Access

A Systematic Review of Data Science in Early Voice‐Based Detection of Parkinson's and Amyotrophic Lateral Sclerosis Neurodegenerative Diseases

View Full Paper

Ask AI

Bookmark

Authors

AMAbdulazeez MousaNawroz University FÖFatih ÖzyurtFırat University RMRidwan Boya MarqasFırat University

Discussion

Member takes

Implication

Systematic review reveals machine learning improves voice-based neurodegenerative disease detection, suggesting standardization and explainability are vital for clinical translation.

Key Points

To systematically evaluate the performance, data quality, and computational challenges of artificial intelligence and machine learning models used for early voice-based detection of Parkinson's disease and Amyotrophic Lateral Sclerosis.
Systematic review of literature analyzing speech biomarkers using artificial intelligence, machine learning, and deep learning architectures.
Evaluated underlying datasets for sample size adequacy, class balance, linguistic diversity, and recording conditions.
Assessed model integration challenges within clinical decision support systems and clinical workflows.
Advanced computational architectures, including convolutional neural networks, recurrent neural networks, ensemble methods, and hybrid models, show substantial diagnostic improvements over traditional acoustic analysis methods.
Real-world clinical translation is currently hindered by noisy input data, dataset variability, limited cross-linguistic generalization, and inadequate model interpretability (explainable AI).

Cite This Study

Mousa et al. (2026) studied this question.

synapsesocial.com/papers/6a817a33f2fb91fc834ade38 https://doi.org/10.1002/widm.70123

View Full Paper

Ask AI

Bookmark

Implication

Systematic review reveals machine learning improves voice-based neurodegenerative disease detection, suggesting standardization and explainability are vital for clinical translation.

A Systematic Review of Data Science in Early Voice‐Based Detection of Parkinson's and Amyotrophic Lateral Sclerosis Neurodegenerative Diseases

Discussion

Member takes

Implication

Key Points

Cite This Study

A Systematic Review of Data Science in Early Voice‐Based Detection of Parkinson's and Amyotrophic Lateral Sclerosis Neurodegenerative Diseases

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider