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Leveraging What We Know: Knowledge Discovery and Knowledge Exploitation as Complementary Aspects of Explainable AI

Labroots via YouTube

Overview

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Explore the intersection of Natural Language Processing and psychiatry in this 32-minute webinar presented by Dr. Guillermo Cecchi. Delve into the applications of Large Language Models (LLMs) in analyzing psychiatric evaluations and interventions. Discover how decades of neuropsychiatric knowledge can be incorporated into AI systems for various applications, including differential diagnosis of psychosis, pain discrimination, addiction treatment outcome prediction, and psychotherapy progression inference. Learn about efforts to model multimodal data streams, combining qualitative assessments, neuroimaging, and at-home digital data in clinical trials. Gain insights into the complementary aspects of knowledge discovery and exploitation in explainable AI within the context of computational psychiatry and neuroimaging.

Syllabus

Leveraging What We Know: Knowledge Discovery and Knowledge Exploitation as Complementary Aspects...

Taught by

Labroots

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