Data-driven psychiatry

We explore how multimodal and speech-based modeling can inform the understanding and detection of psychiatric conditions. This line of work examines how linguistic, acoustic, and behavioral signals reflect underlying mental states and how AI systems can quantify uncertainty in these assessments to support clinical decision-making. (read more here: click here )