Artificial Intelligence London Division Spring Conference 2024

15May

London Division Spring Conference 2024

Timings 9:30 AM - 2:30 PM
Location , Online
CPD 1 CPD point per hour of content, subject to peer approval
Non-Member£112
Consultant£84
Higher Trainee / SAS Doctor£62
Core Trainees / Subsided / Retired / Medical Students / FY Doctors£39
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Artificial Intelligence London Division Spring Conference 2024

Event Information

The London Division Spring Conference 2024 will focus on the topic of Artificial Intelligence and will focus on:

  • The uses of AI, historical uses and the current applications.
  • What can Artificial Intelligence learn from the Brain / Neuroscience?
  • What can the brain learn from AI?
  • How can AI transform Psychiatry: Opportunities and Challenges

Event programme

Time Presentation
9.25am Virtual room opens
9.30 – 9.40am Welcome
Dr Stefania Bonaccorso, RCPsych London Division, Academic secretary
9.40 – 10.20am

Use of AI in clinical settings: historical perspective and current applications

Joint talk Professor Daniel Joyce, University of Liverpool

Dr Nick Gray, University of Liverpool

10.20 – 11.00am What can artificial intelligence learn from the brain or neuroscience?
Professor Caswell Barry, University College London
11.00 – 11.15am Comfort break
11.15 – 11.55am What can the brain learn from AI?
Professor Ing Ren Tsang, University of Pernambuco
11.55 – 12.35pm How can AI transform psychiatry: opportunities and challenges
Dr Andrey Kormilitzin, University of Oxford
12.35 – 1.05pm Lunch break
1.05 – 1.45pm A more human artificial intelligence... TBC
Dr Guy Northover, Berkshire Healthcare NHS Foundation Trust
1.45 – 2.30pm Panel discussion
Chaired by Dr Stefania Bonaccorso, RCPsych London Division, Academic secretary and Dr Soloman Wong, Central and North West London NHS Foundation Trust
2.30pm Event close

We are delighted to welcome the following speakers

Professor Daniel Joyce – University of Liverpool

I'm a psychiatrist and data scientist interested in how we can make use of data-driven technologies to better understand mental illness. My work looks at how we can use methods from statistical- and machine-learning in prosaic ways to deliver actionable insights to patients and clinicians.

Topics I have a particular interest in include a) defining what transdiagnostic phenotyping means and how it can be achieved using clinical data that may be at best, first-approximations (or proxies) for traditional diagnostics and syndromes b) unobtrusive and low-burden measurement and tracking of clinical and health states using technology c) how to capture aspects of clinical decision making so that data-driven technology (like artificial intelligence) can be aligned with clinical practice.

I spend much of my time working on delivering two work packages for the Mental health Research for Innovation Centre - specifically, Innovative Therapies for Mood Disorders and the Mental Health Avatar

Professor Caswell Barry – University College London 

Prof. Caswell Barry joined UCL’s Cell and Developmental Biology department in 2013, previously being based at the Institute of Neurology with Prof. Neil Burgess. His goal is to build a computational understanding of the neural basis of memory. In other words, explaining how a network of neurons in able to store, update, and retrieve information about the world and events that happen within it. 

To this end he studies spatial memory and its representation in the hippocampal formation. His lab uses tools such as computational modelling and machine learning in conjunction with a variety of experimental techniques to understand how the processes of memory formation and retrieval are triggered.

Professor Inden Tsang – University of Pernambuco

Tsang Ing Ren received the B.Sc. degree in electronic engineering from the Federal University of Pernambuco, Recife, Brazil, and the Ph.D. degree in physics from the University of Antwerp, Antwerp, Belgium. He is currently an Associate Professor with Center for Informatics, Federal University of Pernambuco. His research interests include machine learning, image processing, computational photography, computer vision, and deep learning.

Professor Andrey Kormilitzin – University of Cambridge

Andrey Kormilitzin is a Senior researcher and a Group Lead for Translational Machine Learning at the Department of Psychiatry at the University of Oxford. He is also a member of the Oxford's Mathematical Institute. 

Andrey's research is centred around applications of statistical machine learning, Natural Language Processing and mathematics to improving outcomes for patients with mental disorders.

Guy NorthoverDr Guy Northover – Consultant Child and Adolescent Psychiatrist, Lead Clinical Director and CCIO, Berkshire Healthcare NHS Trust.

Dr Guy Northover is a Consultant Child and Adolescent Psychiatrist in Berkshire where he works clinically within the early ntervention in psychosis team. He is the Trusts Lead Clinical Director, managing the 7 clinical directors across all community physical and mental health services In Berkshire, Guy is the Chief Clinical Information Officer and Clinical Safety Officer for the trust, holding responsibility for the digital strategy and clinical engagement along with the quality and safety of all the trusts digital health systems. Nationally Guy is the National Clinical Lead for the Getting It Right First Time project for Children and Young People which is identifying and rectifying unwarranted variations in care.

He is part of the NHSE specialist commissioning Clinical Reference Group. Guy is the Finance Officer for the faculty of Child and Adolescent Psychiatry and undertakes the role of Faculty Quality Improvement Lead. attends the Informatics committee Guy is a cofounder of a successful digital startup that uses AI to drive the efficiency, effectiveness and quality of mental health assessment and treatment pathways.

Please kindly note, this session will be recorded and the recording made available within two weeks of the event.

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

All recordings are sent out to delegates via email 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. 

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.

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