With the advent of digital approaches to mental health, modern artificial intelligence (AI) (machine learning in particular) is being used in the development of prediction, detection, and treatment solutions for mental health care. Although there has been considerable progress in digital health and the application of AI to physical health in general, the adoption of AI in mental health is relatively nascent. Opportunities are emerging however. In terms of treatment, AI can be incorporated into digital interventions, particularly web and smartphone apps, to enhance user experience and optimise personalised mental health care. In terms of prediction and detection, modern streams of abundant data, whether they be from medical imaging or an individual’s interactions with digital technologies, mean that data-driven AI methods can be employed to gain mental health insights.

This symposium, with a focus on AI in mental health, will provide an opportunity for researchers working at this intersection to share their work and meet other researchers working in this area. Submission topics of interest include:

- Digital phenotyping from personal digital devices and the Internet of Things.
- Natural language processing of clinical texts and social media content.
- Chatbots and other AI agents for mental health.
- Applications of AI to neuroimaging or brain imaging.
- Ethics in the use of AI for mental health.
- Human-Computer Interaction aspects of AI-driven mental health tools.
- Clinical integration of AI solutions. Augmented psychiatry/psychology.