Exploring Voice AI: Technologies, Algorithms, and Applications in Healthcare
Video recording:
Speaker: Abir Elbeji (Department of Precision Health, Luxembourg Institute of Health)
Title: Exploring Voice AI: Technologies, Algorithms, and Applications in Healthcare.
Time: Wednesday, 2024.05.15, 10:00 a.m. (CET)
Place: fully virtual (contact Jakub Lengiewicz or Elisa GÓMEZ DE LOPE to register)
Format: 30 min. presentation + 30 min. discussion
Abstract: This presentation looks at Voice AI technology, one of the key players in artificial intelligence that’s making a major impact, especially in digital health. We’ll cover the basics of Voice AI, including the latest technologies and algorithms, and how they’re used in various industries, with a focus on healthcare. One exciting development is the use of vocal biomarkers in clinical settings, which are non-invasive ways to monitor and diagnose health conditions through voice analysis. We’ll discuss how combining voice technologies with advanced analysis can improve patient care, and lead to personalized medicine.
Abir Elbéji, third-year PhD student at the Luxembourg Institute of Health. My research focuses on investigating voice biomarkers for monitoring chronic disease symptoms using artificial intelligence (AI) technologies. Throughout my academic journey, I have engaged in innovative projects such as identifying a vocal biomarker for fatigue monitoring in COVID-19 patients, detecting type 2 diabetes using voice analysis, and examining vocal biomarkers for mental health, specifically depressive symptoms.