Leveraging What We Know: Knowledge Discovery and Knowledge Exploitation as Complementary Aspects of Explainable AI
Offered By: Labroots via YouTube
Course Description
Overview
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
Related Courses
NeuroethicsUniversity of Pennsylvania via Coursera Mente e cervello: dalla neuropsicologia alle neuroscienze cognitive
University of Naples Federico II via Federica Schizophrenia
Wesleyan University via Coursera Fundamental Neuroscience for Neuroimaging
Johns Hopkins University via Coursera Neuroscience and Neuroimaging
Johns Hopkins University via Coursera