Assessing clinical utility of Machine Learning and Artificial Intelligence approaches to analyze speech recordings in Multiple Sclerosis: A Pilot Study

no code implementations • 20 Sep 2021 • Emil Svoboda, Tomáš Bořil, Jan Rusz, Tereza Tykalová, Dana Horáková, Charles R. G. Guttman, Krastan B. Blagoev, Hiroto Hatabu, Vlad I. Valtchinov

Objective: To determine the potential clinical utility of machine learning and deep learning/AI approaches for the aiding of diagnosis, biomarker extraction and progression monitoring of multiple sclerosis using speech recordings.

Binary Classification Management