Clinical assessment and interpretation of dysarthria in ALS using attention based deep learning AI models

Abstract Speech dysarthria is a key symptom of neurological conditions like ALS, yet existing AI models designed to analyze it from audio signal rely on handcrafted features with limited inference performance. Deep learning approaches improve accuracy but lack interpretability. We propose an attenti...

Full description

Saved in:
Bibliographic Details
Main Authors: Michele Merler, Carla Agurto, Julian Peller, Esteban Roitberg, Alan Taitz, Marcos A. Trevisan, Indu Navar, James D. Berry, Ernest Fraenkel, Lyle W. Ostrow, Guillermo A. Cecchi, Raquel Norel
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-025-01654-7
Tags: Add Tag
No Tags, Be the first to tag this record!