September 5, 2025Emerging Science JournalOpen Access

Unleashing Effective Identification of ALS Based on Vowel Phonation: A Deep Learning Approach

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AI-based model classifies ALS from non-ALS patients using vowel phonation, suggesting a faster detection method.

The proposed model classifies ALS effectively using AI, enhancing the accuracy of detection processes.
Key features are extracted using MFCC techniques, resulting in improved classification outcomes in ALS detection.
This research involves a CNN-LSTM architecture to analyze audio signals while minimizing information loss during classification.
Using the Minsk2020 dataset, the study highlights AI's potential in medical diagnostics, particularly for ALS.

Al-Dossary et al. (2025) studied this question.

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September 5, 2025Emerging Science JournalOpen Access

View Full Paper

Ask AI

Bookmark

Authors

AI-based model classifies ALS from non-ALS patients using vowel phonation, suggesting a faster detection method.

The proposed model classifies ALS effectively using AI, enhancing the accuracy of detection processes.
Key features are extracted using MFCC techniques, resulting in improved classification outcomes in ALS detection.
This research involves a CNN-LSTM architecture to analyze audio signals while minimizing information loss during classification.
Using the Minsk2020 dataset, the study highlights AI's potential in medical diagnostics, particularly for ALS.

Al-Dossary et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark