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 to 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 imagine, 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 part of the Departmental Seminar Series and is hosted in the Seminar Room and online:

• zoom.us/j/92620728590?pwd=s1JefrGff6bN0nZZcHSTBkCw8Z1RlT.1
• Meeting ID: 926 2072 8590
• Passcode: 196542