Tuesday, June 11, 2024

3:20 PM - 4:35 PM

214

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Overview

Presented By: Dr. Aroldo A. Dargél, Diana Inkpen, Dr. Michael Cheng, and Ruba Skaik

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Details

Sections: 1. AI for estimating depression and suicide levels in Canada 2. Helping people find what they want not what they typed 3. Advancing bipolar disorder phenotyping in youth using Natural Language Processing Learning Objectives: By the end of this session, participants will be able to: 1. Identify the potential of AI to enhance the precision on youth mental health care 2. Explain the use of natural language processing (NLP) and Large Language Models (LLMs) in charactering individuals with mental disorders 3. Describe the relevance of multidisciplinary collaorations to align algorithmic solutions with clinical demands towards a more humanized youth mental health care.

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Speaker