Presentation titles with learner objectives listed:
The learner objectives describe what learners will be able to do in practice after attending each presentation
Discovering Markers and Mechanisms of Mental Disorders with Natural Language Processing and Daily Thought Sampling
- Discuss problems with trying to study the flow of thought in different mental disorders
- Demonstrate how generative AI and digital technologies can afford alternative ways to understand the mechanisms of thought, enabling the learner to consider these mechanisms in their clinical care
Language Feedback Generation for Counseling Training
- Learners will become familiar with state-of-the-art language processing methods for automatically generating language feedback for counselor training
- Describe how generative AI technologies can be used to produce feedback to learn core counseling skills
- List applications for generative-AI in the psychotherapy domain
Large Language Models and Other Natural Language Processing Techniques to Study Adolescent Suicidality in School-Based Anonymous Reporting Systems
- List multiple natural language processing techniques that are useful for large text data available in psychiatric research (e.g., Anonymous Report Systems, EHR, social media).
- Describe ways that applications of natural language processing techniques to data from Anonymous Reporting Systems can be useful in identifying suicidality in adolescent populations.
Measuring and Improving Mental Health Through Social Media and LLMs 60
- List the potential role of digital online text as a source for mental health diagnosis and symptom monitoring
- Utilize Large Language Models to streamline mental health care delivery and help patients practice therapeutic skills