Facial and Vocal Markers of Schizophrenia Measured Using Remote Smartphone Assessments
In this poster you will learn:
- There is rapidly increasing utilization of remote digital measurements in clinical research and practice. These machine learning-based facial and vocal measurements have demonstrated relationships with schizophrenia diagnosis and severity. We determine their accuracy when acquired through automated assessments conducted remotely through smartphones.
- Demonstrating utility and validity of remote and automated assessments conducted outside of controlled experimental settings can facilitate scaling such measurement tools to aid in risk assessment and tracking of treatment response in difficult to engage populations.