Agenda
Main Forum Day 1 | Wednesday, 24 November 2021 |
|||
|---|---|---|---|
| Time | Agenda | ||
| 09:50 | Forum Introduction By Chairperson Highlights On Forum Day 1 Key Sessions |
||
 Andrew Saunders Board Director & Chair of Community Advisory Committee Eastern Health |
 |
||
| 10:00 | Keynote: How AI And Robotics Are The Keys To Australia’s Healthcare Evolution | ||
| Australia is poised on the cusp of a healthcare AI revolution. Clinicians, researchers, data scientists, and engineers are increasingly working together to solve health challenges and create new innovations that make the most of limited resources. The near future will see the rise of intelligent digital tools that will help speed up diagnoses, improve patient care and transform the overall healthcare experience. Get a glimpse of the future of Australian healthcare in this keynote. | |||
 A/Prof. Tam C. Nguyen Deputy Director of Research St Vincent’s Hospital Melbourne |
 |
||
| 10:30 | Leveraging AI In Healthcare | ||
 Lachlan Rudd Director Data and Analytics eHealth NSW |
|||
| 11:00 | Feasibility Of A Digital Assistant As An Adjunct To Clinical Management Of Chronic Disease | ||
 Jo Hunter Co-Director of lab MoTILa Monash Health |
 |
||
| 11:30 | Cross-Disciplinary Approaches For AI In Paediatric Cancer | ||
 Prof. Paul Kennedy Director, Biomedical Data Science Laboratory, Head of Discipline (Data Analytics/ Artificial Intelligence) University of Technology Sydney (UTS) |
 |
||
| 12:00 | Challenges In AI Adoption And Scaling | ||
 Vicky Stavroulakis Co-Founder PintarHealthConnect |
 |
||
| 12:30 | Lunch Break | ||
| 13:30 | Cloud-Based Machine Learning In The Fight Against COVID-19 | ||
 Dr. Denis C. Bauer Head Cloud Computing Bioinformatics CSIRO |
 |
||
| 14:00 | Transforming Patient Rehab Through Robot-Assisted AI-Exoskeleton | ||
| This session will look at a breakthrough robot-assisted upper limb rehabilitation system, ‘Franky’ that was designed to assist stroke patients in their recovery therapy journey. Franky is able to read patients’ desired movement by measuring their brain’s electrical signals which gave a direct visual feedback by demonstrating the correct way to perform the desired movements. Franky can be worn as an exoskeleton that provides physical assistance-as-needed to guide them through therapeutic movements. | |||
 Dr. Steven Weidong Su, PhD Associate Professor, School of Biomedical Engineering, Faculty of Engineering and IT University of Technology Sydney |
|
||
| 14:30 | The Future Of Skin Cancer Detection Could Be Artificial Intelligence | ||
| North Queensland has been one of the most dangerous UV ratings in the world and such high exposure of UV would prone to cause skin cancer. The North Queensland clinic has just started using AI software as part of its routine skin checks and in this session you will learn on how AI can help to improve its analysis and identifying skin cancers from high-resolution photos of patient’s skin taken by a computer-sized machine. | |||
 Dr. Jeremy Hudson Clinical Director North Queensland Skin Centre |
 |
||
| 15:00 | Virtus Health Case Study: Leveraging AI Technology To Help On Increasing Success Rates In IVF Pregnancies | ||
| Around one in seven couples have trouble conceiving, which means there is a high demand for solutions such as in vitro fertilization, also known as IVF. IVF, however, only has a 30% success rate, is expensive and can be both mentally and physically taxing for patients. IVF Australia as part of Virtus Health Group has developed an artificial intelligence system to predict the likelihood of a viable pregnancy from transfer of a single embryo in a woman undergoing IVF. The time-lapse video image of thousands of embryo during the development were used to train the AI which allows embryologists to identify the embryo with the best chance of achieving a successful pregnancy as quickly as possible. | |||
 Teena Pisarev Managing Director NSW/ACT & Singapore Virtus Health |
 |
||
| 15:30 | Helping COVID-19 Patients To Stay Safe with AI Backed Pandemic Intervention And Monitoring System | ||
| COVID-19 has hit hard globally and Australia has also been heavily affected. At a point, there are almost 3000 people in Victoria with coronavirus who remain at home, often isolated from their family and unable to visit their doctors. To keep the patients safe from the risk of virus exposure in the hospital, Alfred Health and Deakin University has developed automated monitoring system that leverage on AI technology in monitoring COVID-19 patients at home, and dispatch ambulances if they deteriorate. Learn more on this system at this session and how this AI Pandemic Intervention and Monitoring System (PIMS) has successfully rolled out and saving the hospital capacity as well as ensuring COVID-19 patients are safe. | |||
 A/Prof Joseph Mathew Deputy Director of Alfred Health Trauma Services The Alfred Hospital |
 |
||
| 16:00 | Closing Remarks By Forum Chairperson | ||
Andrew Saunders Board Director & Chair of Community Advisory Committee Eastern Health |
|
||
Main Forum Day 2 | Thursday, 25 November 2021 |
|||
|---|---|---|---|
| Time | Agenda | ||
| 09:50 | Forum Introduction By Chairperson Highlights On Forum Day 2 Key Sessions |
||
Andrew Saunders Board Director & Chair of Community Advisory Committee Eastern Health |
|
||
| 10:00 | Emotion AI Case Study: AI Technology To Improve Patient Experience | ||
 Jeffrey Woods Chief Nursing Officer Healthscope |
 |
||
 Chris Johnston CEO Adoreboard |
 |
||
| 10:30 | Use Of AI To Personalize Cancer Care At Icon Group |
||
| Icon becomes the first in Southern Hemisphere to deliver game-changing radiation therapy that personalizes cancer care using Varian’s Ethos therapy. It uses artificial intelligence to plan radiation therapy treatments that are designed to deliver a new level of accuracy where the technology allows clinicians to adjust how treatment is delivered by monitoring the patient’s internal and external anatomy. In this session, you will find out more on the capabilities of this world-leading radiation technology. | |||
 Mark Middleton CEO Icon Group |
 |
||
| 11:00 | Using AI In Medical Diagnostics | ||
| According to a report published by the Guardian newspaper, AI is on par with human experts when making medical diagnoses using images. Advocates for increasing the use of AI in healthcare highlight benefits such as freeing time for better doctor-patient interactions and helping doctors develop tailored and targeted treatments.
This session will explore the potential of using AI in medical diagnostics. Points of discussion include:
|
|||
 Dr. Sandeep Reddy Associate Professor Deakin University |
 |
||
| 11:30 | Panel: Who Is Responsible For AI Misdiagnosis? Regulatory Perspectives On AI |
||
| This session will discuss the new legal and corporate challenges posed by the advent of AI in healthcare. For instance, disputes might arise from the autonomous nature of AI: how should the technology and by vicarious liability the manufacturers, share responsibility for wrongful or negligent diagnoses? Firming up legislation will be key to overcoming hospitals’ and doctors’ reluctance to adopt AI – and all its benefits – into regular practice. | |||
| Panel Moderator:
|
|
||
| Panelists:
|
 |
||
Dr. Sandeep Reddy Associate Professor Deakin University |
|
||
 Dr. Sonu Bhaskar Founding Director NSW Brain Clot Bank |
|||
 Mark Nevin FAIDH |
|||
 Paul Nolan Lawyer |
|||
| 12:10 | Identifying Patients At Risk Of Sepsis For Early Intervention With Predictive Algorithm And AI Profiling | ||
| The knowledge- and labor-intensive nature of healthcare makes it ripe for AI disruption. One recent example, NSW Health utilizes artificial intelligence (AI) to detect complex patterns that are indiscernible to humans from the data of patients who did develop sepsis. By using machine learning and related AI techniques and displaying the information from a sepsis-predicting algorithm on an app, it can detect signs earlier within emergency department waiting room and immediately seek for response to ensure patient’s safety. | |||
 Dr. Aldo F Saavedra Senior Research Fellow, Health and Clinical Analytics, School of Public Health The University of Sydney |
 |
||
| 12:40 | Lunch Break | ||
| 13:30 | Dementia Australia Case Study: World-First AI Avatar To Improve Dementia Care | ||
| With almost half a million Australians living with dementia – which is projected to increase to 1.1 million people by 2058, it is crucial to improve the quality of dementia care which includes effective and engaging communication. Dementia Australia has launched its new generation immersive experience, Talk with Ted, to educate their care workers to better communicate with and support people living with dementia. By leveraging AI technology, it provides an online simulation of a typical communication experience between a care worker and someone living with dementia. | |||
 Dr. Tanya Petrovich Business Innovation Manager Dementia Australia |
 |
||
| 14:00 | Monash University And Alfred Hospital’s AI Superbug System: Supporting Super Bug Diagnosis, Treatment And Prevention | ||
| Superbugs are mutated forms of bacterium and viruses with no known treatments and lead to massive annual deaths in statistics. Monash University and Australia’s The Alfred Hospital has developed an artificial intelligence-based “Superbug” detection system that aims to diagnose, prevent and better treatment. The AI-based superbug detection system uses artificial intelligence technologies to predict the superbug’s existence in the human body. Eventually it would also help to create personalized treatment for patients who suffer from superbug evolved from some of the common diseases. | |||
 Prof. Geoff Webb Research Director, Monash Data Futures Institute Monash University |
 |
||
 Prof. Anton Peleg Professor of Infectious Diseases and Microbiology Monash University |
|
||
| 14:30 | AI In Computational Neurosurgery And Clinical Neurosciences | ||
| It is now clear that artificial intelligence models in conjunction with high-quality clinical data could bring an improved prognostic and diagnostic models in neurological disease and assist the healthcare setting with accurate clinical decision. In this session, you will learn how the core concept of artificial intelligence is able to harness its support to clinicians and neuroscience researchers and specialists in making critical clinical decisions. | |||
 Prof. Antonio Di Ieva Consultant Neurosurgeon Macquarie Neurosurgery |
 |
||
| 15:00 | Designing Futuristic Telemedicine Using Artificial Intelligence And Robotics In The COVID-19 Era | ||
| AI is shifting healthcare away from reactive care delivered only in the hospital or doctor’s office, to continuous health and wellness. The Royal Prince Alfred Hospital (RPA) has launched its RPA Virtual Hospital where its intensive care unit-quality monitor patients who shown mild symptoms of COVID-19 from home with the assistance of AI technology that analyze the condition of its patients to determine on next treatment to be taken. Learn more about AI’s impact on telehealth and how it makes it possible for the patient to be the ‘point of care’ in this session. | |||
Dr. Sonu Bhaskar Founding Director NSW Brain Clot Bank |
|||
| 15:30 | Privacy Preserving AI Medical Imaging With Federated Learning | ||
 Dr. Ettikan Karuppiah Director/Technologist NVIDIA |
 |
||
 Dr. Chenyu (Tim) Wang Director of Operations Sydney Neuroimaging Analysis Centre (SNAC) |
 |
||
 Dr. Werner Scholz CTO and Head of R&D XENON |
 |
||
| 16:00 | Closing Remarks By Forum Chairperson | ||
Andrew Saunders Board Director & Chair of Community Advisory Committee Eastern Health |
|
||
