/aiml/ en /aiml/events/list/2023/11/aiml-mid-week-seminar-using-ai-to-predict-clinical-outcomes-in-dementia <p>In this presentation, Luke discussed the use of artificial intelligence and deep learning to analyse brain images in dementia, cognitively impaired and healthy individuals. The goal is to develop representations of disease progression that can differentiate normal aging from specific pathologies at both group and individual levels. The presentation aims to bridge the gap between group and individual disease progression analyses by combining morphometry, normative, and computational disease modelling techniques. It also outlines various approaches and results obtained so far, with plans to develop comprehensive normative models. This research has the potential to improve dementia severity assessment and guide precision medicine and aged care planning. Future work will explore different patient categories and intervention approaches.&nbsp;</p> Fri, 28 Jun 2024 13:13:10 +0930 Dana Rawls /aiml/events/list/2023/11/aiml-mid-week-seminar-using-ai-to-predict-clinical-outcomes-in-dementia AIML 2023-11-15T00:00:00+10:30 /aiml/events/list/2023/11/aiml-special-presentation-explaining-the-uncertain-stochastic-shapley-values <p>In the rapidly evolving field of machine learning, it is important to quantify model uncertainty and explain algorithm decisions, especially for safety-critical domains such as healthcare. In this talk, Dr Chau presented a novel approach to explaining Gaussian processes which we term GP-SHAP. our method is based on the popular solution concept of Shapley values extended to stochastic cooperative games, resulting in explanations that are random variables.</p> Thu, 27 Jun 2024 14:34:46 +0930 Dana Rawls /aiml/events/list/2023/11/aiml-special-presentation-explaining-the-uncertain-stochastic-shapley-values AIML 2023-11-20T00:00:00+10:30