Webinar: The role of AI in psychiatry

20Oct

Online event

Timings 9:30 AM - 11:30 AM
Location Online via Zoom
CPD 1 CPD point per hour of content subject to peer approval
Non Member rate£84.80
Member rate£63.60
Higher Trainee / SAS Doctor rate£47.70
Core Trainees / Subsidised / Retired rate£31.80
Foundation Doctor / Medical Student / Patient Carer rate£31.80
Bookings Closed
Webinar: The role of AI in psychiatry

Event Information

The webinar will cover the following topics:

  •  When people describe something as employing artificial intelligence, machine learning, statistical learning or data science, what do they really mean?
  • When AI intersects with healthcare applications – and in particular, psychiatry – what has happened in the past, present and what might be on the horizon for the future
  • What are the risks presented by AI in medical and health contexts and how do these risks manifest in psychiatry and mental health care
  • Should, and can we, responsibly use AI in clinical practice in the near future

 At the end of the webinar, attendees will have developed a broad understanding of how AI, psychiatry and mental health can be usefully aligned and will be equipped to interrogate the claims made about these technologies and their relevance for clinical practice.

We are delighted to announce the following speakers:

Professor Daniel Joyce - University of Liverpool

Dan is a consultant psychiatrist and professor of connected mental health, researching how data science and machine learning can be applied to improving the detection, treatment and monitoring of interventions for mental illness. Before moving to the University of Liverpool in 2022, he worked at Oxford Health NHS Foundation Trust as a consultant psychiatrist in Early Intervention for Psychosis, clinical trial delivery and as a Senior Clinical Research Fellow at the University of Oxford's Department of Psychiatry working on applications of statistical and machine learning to develop deployable technology for clinical decision support.    

 

Professor Andrey Kormilitzin - University of Oxford

Andrey Kormilitzin is a Senior Research Fellow and a Group Lead for Translational Machine Learning and Bioinformatics at the Department of Psychiatry at the University of Oxford. He is also an affiliate member of the Oxford's Mathematical Institute. Andrey's research is centred around applications of statistical machine learning, Natural Language Processing and the mathematics of multidimensional stochastic processes to improving outcomes for patients with mental and neurological disorders.

Please kindly note, the event will be recorded, and the recording made available within two weeks of the event. The recording will not be automatically available after the event has taken place. 

The recording will be sent out to delegates via email. The link will be sent to the email address used at the time of registering. If you are unsure whether your email address is up to date, please update this via your membership account. 

We would encourage those who register to attend on the day of the event, should they wish to ask questions to our speakers.

We are inviting delegates attending this Webinar to pre-submit questions for our speakers.

Submit your question.

All questions need to be submitted before Thursday 12 October 2023.

This event is taking place online via Zoom. To take part you will need:

  • access to a reliable internet connection
  • a PC, laptop, tablet or phone
  • Google Chrome or Microsoft Edge browser or Zoom installed on your PC, laptop, tablet or phone.

Please note – it is up to the participant to ensure that they have the correct requirements in place prior to booking the event.

Joining instructions for the event will be sent out the week of the event.

Prior to registering for this event, we would ask that all delegates read our terms and conditions for booking an event.

Competing interests to be advised.

For further information, please contact:

Email: division.events@rcpsych.ac.uk

Contact Name: Division Events Team

Contact number: 0208 618 4261

Event Location

Location: Online via Zoom