AI-based neuroimaging prediction of outcomes in depression and psychosis

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 Dr Paris Alexandros Lalousis will present results from his work using neuroimaging within a machine learning framework to develop diagnostic and prognostic tools in depression and psychosis.

Speaker: Dr Paris Alexandros Lalousis

Biography: Paris is a Lecturer in Artificial Intelligence in Mental Health at the Institute of Psychiatry, Psychology & Neuroscience at King's College London based in the Department of Psychosis Studies. He holds a first-class BSc (Hons) in Psychology from the University of Wales and a MSc with distinction in Brain Imaging & Cognitive Neuroscience from the University of Birmingham. He has worked as a research assistant at the Department of Mental Health & Neurosurgery of the Evangelismos Hospital in Athens and clinically in the Birmingham Early Intervention in Psychosis Services.

He undertook his doctoral training with a joint funded Priestley University of Birmingham - University of Melbourne PhD Fellowship at the Institute for Mental Health and the Centre for Human Brain Health. He then worked as Post-Doctoral Research Fellow at the University of Birmingham leading his site within the NIH-funded PRESCIENT consortium and coordinating with international collaborators from 10 countries and 12 sites to successfully develop novel machine learning solutions for psychosis.

He currently leads the AIM lab where he uses state-of-the-art artificial intelligence methods to incorporate multimodal data from the phenotypic, neuroanatomical, proteomic and genomic levels to improve understanding of disease processes in mental illness, by disentangling phenotypic and neurobiological heterogeneity in a transdiagnostic manner. He focuses in the translation of data science into clinical care in mental health disorders positioned at the crosshairs of state-of-the-art analytical techniques and transformative clinical applications. His works spans psychosis, depression, dementia, and Parkinson’s disease among others.

Prediction Modelling Presentations

We host monthly online presentations on Machine Learning and Prediction Modelling and their applications to solve healthcare problems. Speakers from the UK and abroad present their works on developing and/or using machine learning and prediction modelling methods to answer questions as how to choose the best treatment for a patient or how to improve the diagnosis of a disease. Talks are open to the public and attendants can join online by following the links on the event pages below.

https://www.kcl.ac.uk/events/series/p...