This webinar introduces the use of artificial intelligence (AI) in healthcare, with a focus on mental health applications. We will begin by reviewing a recently published study that used AI to detect mental health needs, using it as a framework to explore key AI concepts. Next, we will discuss the broader adoption of AI technology and the various ways it can be applied in healthcare. Finally, we will explore the future of AI, including the role of AI-driven agents. The session will conclude with an open discussion, allowing participants to ask questions and share ideas on how AI could be integrated into their work or daily life.

By the end of this session, participants will:

1. Understand the fundamentals of AI, using a recent research example as a reference.
2. Gain a framework for how AI is being integrated into mental healthcare and the broader healthcare landscape.
3. Explore three key areas of AI application through real-world examples:
   • Extractive AI (e.g., data extraction and summarization)
   • Predictive AI (e.g., forecasting outcomes and trends)
   • Generative AI (e.g., content and text generation)
4. Examine the concept of agentic AI and its potential impact on future projects.

Outcomes:

By the end of this webinar, participants will have a foundational understanding of artificial intelligence and its applications in mental healthcare. They will be able to identify key AI concepts, including extractive, predictive, and generative AI, and recognize how these technologies are shaping healthcare. Participants will also gain insight into the adoption of AI in clinical and research settings, as well as the emerging role of agentic AI in future projects. The webinar will also provide an opportunity for participants to share how they would like to see AI incorporated into their work or personal lives, providing the presenter valued insight to incorporate into their research program.