Acoustic and Facial Features From Clinical Interviews for Machine Learning-Based Psychiatric Diagnosis: Algorithm Development.

Michael Leo Birnbaum Avner Abrami Stephen Heisig Asra F Rizvi Elizabeth Arenare Carla Agurto Nathaniel Lu John M Kane Guillermo A Cecchi

Published in: JMIR mental health (2022)

This study represents advancement in efforts to capitalize on digital data to improve diagnostic assessment and supports the development of a new generation of innovative clinical tools by employing acoustic and facial data analysis.

Keyphrases

data analysis
machine learning
big data
deep learning
mental health
artificial intelligence
soft tissue
quality improvement