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Artificial Intelligence in Mental Health: Rethinking nosology, diagnosis, and prognosis
Psychiatry largely deals with the same questions it did 100 years ago. The recent Artificial Intelligence (AI) revolution provides hope for innovation and advancement that can translate into transformative change in patient care. In this talk, Paris will present a comprehensive journey into clinical and biological heterogeneity within depression and psychosis at various biological and phenotypic levels using AI-based approaches. This work challenges traditional diagnostic boundaries, showcasing the promise for a new era of precise and transdiagnostic approaches to mental health care.
Paris is a Lecturer in Artificial Intelligence in Mental Health at King’s College London, focusing on psychosis studies. He has a background in psychology and brain imaging, with experience in both research and clinical roles in Greece and the UK. He completed a joint PhD through the University of Birmingham and the University of Melbourne, and later worked on an NIH-funded project developing machine learning tools for psychosis. Now, he leads the AIM lab, where he uses advanced AI techniques to combine data from multiple sources to improve our understanding and treatment of conditions like psychosis, depression, and dementia.
This seminar is hosted in person at the Department of Psychiatry, Seminar Room and online. To join online, please see Zoom details below.
zoom.us/j/92620728590?pwd=s1JefrGff6bN0nZZcHSTBkCw8Z1RlT.1
Meeting ID: 926 2072 8590
Passcode: 196542
Date:
13 May 2025, 9:30
Venue:
Department of Psychiatry, Headington OX3 7JX
Venue Details:
Seminar Room
Speaker:
Dr Paris Lalousis (King's College London)
Organising department:
Department of Psychiatry
Organiser:
Professor Andrea Cipriani (University of Oxford)
Organiser contact email address:
rania.elgarf@psych.ox.ac.uk
Host:
Professor Rachel Upthegrove (University of Oxford)
Part of:
Psychiatry Seminar Series
Booking required?:
Not required
Audience:
Public
Editor:
Rania Elgarf
