25–26 November 2021
The University of Melbourne
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.
Research focus
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.
- Expert systems for psychiatry.
- 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.
If you are interested in participating in this symposium, contact us via dalfonso@unimelb.edu.au.
Key dates
- Friday 17 September 2021
- Abstract submission deadline
- Thursday 30 September 2021
- Submission acceptance outcome notification
- 25–26 November 2021
- Symposium
Venue
Given the uncertainty and (international) travel restrictions due to the COVID-19 pandemic, we are planning on having one symposium day (Nov 25) on Zoom and the other (Nov 26) in person at The University of Melbourne, with the building/room to be confirmed closer to the date.
Local organisers
Simon D’Alfonso
The University of Melbourne, Australia
dalfonso@unimelb.edu.au
Sponsors
Abstract submission
Submissions are now open.
If you are interested in presenting at this symposium, please submit an abstract of 150 - 300 words via the following EasyChair link: https://easychair.org/conferences/?conf=aimh2021. Abstract submissions are due by 17 September and will be reviewed. Acceptance outcome notifications will be sent by 30 September. If you have any questions please contact us via dalfonso@unimelb.edu.au.
Registration
Registration are now open.
If you would like to register for this symposium, either as a presenter or attendee, please use the following Eventbrite link: https://www.eventbrite.com.au/e/2021-symposium-on-artificial-intelligence-in-mental-health-tickets-140979350031. Your registration contact details will be used to notify you of all further attendance and symposium structure information as it becomes available.
Program
The symposium will be split into two days, Thursday November 25 and Friday November 26. The Thursday will be via Zoom and it looks like the Friday will be in person at The University of Melbourne (We are looking into streaming or recording the Friday sessions for viewing online). Zoom link and location details will be sent via email to those who have registered. Following is a tentative schedule.
Thursday November 25
| Time (Melboune) | Presenter | Title |
| 3pm - 4pm | Han Chung Lim | Designing a clinical decision support tool for antipsychotic selection |
| 4pm - 5pm | Pierre Lonchampt | Music and mental health - a fertile but challenging ground for art, science and entrepreneurship |
| 5pm - 6pm | Jenny Hickinbotham | Why AI is not going to support people with mental distress |
| 6pm - 7pm | Mehak Mengi | Application of AI in Early Diagnosis of Neurodevelopmental Disorders using Neuroimaging Data |
| 7pm - 8pm | Simon D'Alfonso | The Future of Smart Mental Healthcare |
Friday November 26
| Time (Melboune) | Presenter | Title |
| 9:00am - 9:15am | Arrival | Arrival |
| 9:15am - 9:30am | Simon D'Alfonso | Intro |
| 9:30am - 10:10am | Vlada Rozova | Detection of self-harm and suicidal ideation in emergency department triage notes |
| 10:20am - 11:00pm | Andres Camargo | Exploring Linguistic Dimensions of Psychological Distress and Mental Well-Being |
| 11:00am - 11:20am | MORNING TEA BREAK | |
| 11:20pm - 12:00pm | Sobia Amjad | Predicting psychiatry symptoms using Mobile phone data |
| 12:10pm - 12:50pm | Daniel Cabrera-Lozoya | Enriching machine learning models with linguistic metadata for early detection of depression |
| 1:00pm - 1:40pm | Mike Conway | Vaping at the VA: Exploring Electronic Cigarette Documentation Patterns in the Veterans Affairs Electronic Health Record |
| 1:40pm - 2:40pm | LUNCH BREAK | |
| 2:40pm - 3:20pm | Hamilton Kennedy | Looking into the Psychiatric Panopticon: A Rapid Review of the Issues of Automated Nursing Observations in Acute Psychiatric Settings |
| 3:30pm - 4:10pm | Fangziyun Tong | Digital Therapeutic Alliance with AI Mental Health Therapy Agents |
| 4:20pm - 5:00pm | Pierre Lonchampt | Regulations and ethics of AI applications in mental health - a complicated formula |
Special Issue
This symposium has a corresponding special issue in the Frontiers journal group: https://www.frontiersin.org/research-topics/25568/artificial-intelligence-in-mental-health
