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Prospects for AI/ML to Inform Prediction and Prevention of Suicide and Mental Health Challenges
This is a virtual seminar. For a Zoom link, please see "Venue". Please consider subscribing to mailing list: web.maillist.ox.ac.uk/ox/subscribe/ai4mch
Mental disorders and their sequelae are leading causes of disability worldwide. Despite advances in neuroscience, genetics, and therapeutic interventions, psychiatric practice has lagged many other fields of medicine in reducing the prevalence and burden of illness. Treatment selection remains a trial-and-error process and few tools are available for the prevention of morbidity and mortality associated with mental illness. The growing availability of large-scale data resources coupled with advances in AI/ML are providing new opportunities to address these gaps and enable the growth of “precision psychiatry”. This presentation will explore these emerging opportunities using the domain of suicide prevention as a primary example. We will discuss the prospects and pitfalls of efforts to apply AI/ML for prediction, prevention, and treatment of psychiatric outcomes and for enhancing clinical decision-making.
Date:
4 March 2025, 15:00
Venue:
https://zoom.us/j/92860307789?pwd=iAdkC3QG1wQ8yvbuOBFTibGofmszPY.1
Speaker:
Professor Jordan Smoller (Harvard Medical School)
Organising department:
Department of Psychiatry
Organiser:
Dr Andrey Kormilitzin (University of Oxford)
Organiser contact email address:
andrey.kormilitzin@psych.ox.ac.uk
Host:
Dr Andrey Kormilitzin (University of Oxford)
Part of:
Artificial Intelligence for Mental Health Seminar Series
Booking required?:
Not required
Booking url:
https://web.maillist.ox.ac.uk/ox/info/ai4mch
Booking email:
andrey.kormilitzin@psych.ox.ac.uk
Audience:
Public
Editor:
Andrey Kormilitzin
