Sepsis: What is the latest on optimal management of sepsis?

Hosted by CRE RESPOND and chaired by Associate Professor Adam Irwin, the Sepsis: What is the Latest on Optimal Management of Sepsis seminar explored cutting-edge developments in sepsis prediction and management, including artificial intelligence and deep learning applications. Highlights include the evolution of the Queensland AI Sepsis Prediction Algorithm and insights from EMIT, a deep learning framework for analysing irregular clinical time series.

Sepsis remains a major global health challenge, contributing to over 8,000 deaths each year in Australia alone and accounting for one in four ICU deaths. Advances in technology and data-driven approaches are now transforming how we detect and manage sepsis in clinical settings.

Event Program:

12:00pm - Welcome and Introduction

Chair: Associate Professor Adam Irwin, NHMRC Emerging Leadership Fellow, University of Queensland Centre for Clinical Research

12:05pm - From Bytes to Bedside: Evolution of the Queensland AI Sepsis Prediction Algorithm

Professor Ian Scott, Clinical Consultant and Chair of Metro South Clinical AI Working Group and Queensland Health Sepsis AI Working Group

We regret that this presentation cannot be shared at this time due to the nature of some of the work featured in the presentation.

12:25pm - EMIT: A Deep Learning Framework for Irregular Clinical Time Series

Mr Hrishi Patel, PhD Student, ARC Centre of Information Resilience (CIRES)

12:45pm - Q&A

12:55pm - Close

If you have any questions about the seminar, please contact the CRE RESPOND team at cre.respond@uq.edu.au.