Detection of Bulbar Involvement in Patients With Amyotrophic Lateral Sclerosis by Machine Learning Voice Analysis: Diagnostic Decision Support Development Study.

Alberto Tena Francisco Clarià Francesc Solsona-Tehàs Einar Meister Mònica Povedano

Published in: JMIR medical informatics (2021)

The results obtained are very encouraging and demonstrate the efficiency and applicability of the automated model presented in this paper. It may be an appropriate tool to help in the diagnosis of ALS by multidisciplinary clinical teams, in particular to improve the diagnosis of bulbar involvement.

Keyphrases

amyotrophic lateral sclerosis
machine learning
deep learning
artificial intelligence
loop mediated isothermal amplification
single cell
quantum dots