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Delving into AI for Better Health

  • 15 September 2023
  • Date 15 September 2023
  • Time 4.00pm - 6.30pm:
    4.00pm Registration
    4.30pm Formalities
    6.10pm Networking and refreshments
  • Cost Free
  • Location 137 St Georges Terrace, Perth

This event has now concluded, use the below links to view the event recording or learn more about the Research Rumble.

Join our researchers in exploring the potential for artificial intelligence to transform healthcare. Discover how AI and telehealth are reshaping patient engagement, monitoring, support and healthcare outcomes. Learn about the challenges of using AI in healthcare, from decision-making to data security and patient privacy.

Speakers

Professor Tom Gedeon

Professor Tom Gedeon

Professor Tom Gedeon is the Human-Centric Advancements Chair in AI at Curtin and Honorary Professor of Computer Science at the Australian National University.

Tom has developed human-centred computing technologies that use advanced AI and sensors to predict human internal states that are relevant to understanding people management.

His current research focuses on responsive AI and the use of human behavioural and biometric data for AI systems. In the area of responsible AI, he is interested in privacy-by-design approaches to control the use of private and personal data.

Dr Mahbuba Afrin

Dr Mahbuba Afrin

Dr Mahbuba Afrin is a lecturer and researcher at Curtin University’s School of Electrical Engineering, Computing and Mathematical Sciences. Mahbuba’s research focuses on IoT-enabled cyber-physical systems, networked robotics and the development of efficient learning models for intelligent systems.

Ms Kaylie Toll

Ms Kaylie Toll

Ms Kaylie Toll is a Senior Research Officer with the WA Country Health Service (WACHS) and Curtin University Research and Innovation Alliance. Kaylie is completing her PhD within the WACHS Command Centre, a virtual hub delivering specialist clinical advice and support to frontline clinicians in country WA.

Kaylie’s research focus includes health systems, virtual health, health outcomes, consumer and provider perspectives and implementation science.

Mr Alex Jenkins

Mr Alex Jenkins

Mr Alex Jenkins is a technology expert with more than 15 years’ experience in advancing data science and AI solutions. Prior to his current role as Director of the WA Data Science Innovation Hub, at Curtin, Alex worked with prominent organisations to develop big data implementations, supply chain modelling solutions and data science strategies. In particular, he has worked on applications of data and analytics in the mining and engineering areas, as well as consulting in the health services domain.

Professor Blossom Stephan

Professor Blossom Stephan

Professor Blossom Stephan is the inaugural Chair of Dementia at Curtin University and Director of the Dementia Centre of Excellence. She also chairs the Alzheimer’s Society UK sub-committee on dementia prevention.

Blossom’s research encompasses dementia and cognitive aging in population-based settings. Her current focus is on risk prediction and risk reduction of neurodegenerative diseases, and the use of AI methods to develop new dementia risk algorithms.

Associate Professor Vidy Potdar

Associate Professor Vidy Potdar

Associate Professor Vidy Potdar is the Director of the Blockchain Research and Development Laboratory at Curtin. The laboratory focuses on developing commercial blockchain and IoT solutions for industry and government, with projects in healthcare, agriculture, supply chain, recycling, sustainability, mining, photography and art. He is also the founder of A2B blockchain as a service platform.

Vidy’s research interests include blockchain technology, energy informatics and smart grids.

Dr Ashu Gupta

Dr Ashu Gupta

Dr Ashu Gupta has been a consultant radiologist for the Fiona Stanley and Fremantle Hospitals Group since 2009 and Head of Department at Rockingham General Hospital since 2014. Following his radiology training in 2008, he completed fellowship training in cardiothoracic imaging at the Ottawa Heart Institute in Canada.

He is an adjunct lecturer at The University of Western Australia and has a research interest in the application of digital technologies to Aboriginal healthcare and radiology.

Activation space:  Privacy Preserving Fall Detection Using Edge-AI

Falls are the second leading cause of unintentional injury deaths globally, with more than 37 million falls requiring medical attention each year, according to The World Health Organization. Adults over the age of 60 at the greatest risk. For elderly people in unsupervised environments, a fall can be fatal, due to prolonged immobilisation – known as a ‘long lie’ – and inability to request aid. This fall detection project seeks to mitigate this problem by developing a system that can quickly and privately detect falls while alerting caregivers and emergency services. The project uses ‘human pose estimators’ to estimate bodily joint positional data and overall pose in real time. Detecting a fall involves feeding joint data into a sequence-based neural network while using an edge-vision device for privacy.

Visit our activation space during registration and networking.

Activation space: Virtual reality aggression management

Health professionals working on the frontline frequently face the challenge of workplace aggression. While these professionals receive regular training in aggression prevention and management, translating this knowledge to real-life situations can be complex. To bridge this gap, a virtual reality aggression management (VRAM) has been developed.

VRAM offers an immersive experience that places health professionals in realistic simulated situations where workplace aggression may occur. This innovative tool enables professionals to explore their reactions and responses in challenging situations, promoting both reflective and reflexive learning. By engaging with VRAM, healthcare professionals can better prepare themselves for real-world encounters with workplace aggression.

Visit our activation space during registration and networking to discover more about VRAM and its potential to enhance workplace readiness.

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