{"id":493,"date":"2023-10-03T04:59:51","date_gmt":"2023-10-03T04:59:51","guid":{"rendered":"https:\/\/digitalhealth.org.au\/ai-care\/?page_id=493"},"modified":"2026-08-28T06:35:56","modified_gmt":"2026-08-28T06:35:56","slug":"program","status":"publish","type":"page","link":"https:\/\/digitalhealth.org.au\/ai-care\/program\/","title":{"rendered":"Program"},"content":{"rendered":"[et_pb_section fb_built=”1″ fullwidth=”on” _builder_version=”4.27.0″ _module_preset=”default” da_disable_devices=”off|off|off” global_module=”15010″ collapsed=”on” global_colors_info=”{}” da_is_popup=”off” da_exit_intent=”off” da_has_close=”on” da_alt_close=”off” da_dark_close=”off” da_not_modal=”on” da_is_singular=”off” da_with_loader=”off” da_has_shadow=”on”][et_pb_fullwidth_header title=”@ET-DC@eyJkeW5hbWljIjp0cnVlLCJjb250ZW50IjoicG9zdF90aXRsZSIsInNldHRpbmdzIjp7ImJlZm9yZSI6IiIsImFmdGVyIjoiIn19@” _builder_version=”4.27.5″ _dynamic_attributes=”title” _module_preset=”default” title_text_align=”left” title_font_size=”24px” background_image=”https:\/\/digitalhealth.org.au\/ai-care\/wp-content\/uploads\/sites\/24\/2026\/04\/AI-Care-background.jpg” global_colors_info=”{}”][\/et_pb_fullwidth_header][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.27.5″ _module_preset=”default” da_disable_devices=”off|off|off” global_colors_info=”{}” da_is_popup=”off” da_exit_intent=”off” da_has_close=”on” da_alt_close=”off” da_dark_close=”off” da_not_modal=”on” da_is_singular=”off” da_with_loader=”off” da_has_shadow=”on”][et_pb_row _builder_version=”4.27.5″ _module_preset=”default” collapsed=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.5″ _module_preset=”default” global_colors_info=”{}”][et_pb_tabs disabled_on=”on|off|off” _builder_version=”4.27.8″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][et_pb_tab title=”Day 1 – Monday 23 November” _builder_version=”4.27.5″ _module_preset=”default” global_colors_info=”{}”]\n\n\n\n\n\n\n\n\n\n\n
7:30 am<\/td>\nRegistration opens<\/td>\n<\/tr>\n
8:45 am<\/td>\nAI. Care Day One Opening Plenary – Crown Melbourne<\/strong><\/td>\n<\/tr>\n
9:00 am<\/td>\nWelcome Anja Nikolic<\/strong>, CEO AIDH<\/td>\n<\/tr>\n
9:10 am<\/td>\nWelcome to Country<\/td>\n<\/tr>\n
9:20 am<\/td>\nOpening Address<\/strong>
\nAmanda Cattermole PSM<\/strong>, CEO, Australian Digital Health Agency<\/td>\n<\/tr>\n
9:35 am<\/td>\nOPENING KEYNOTE<\/span><\/p>\n

The Moral Compass: Ethical Considerations for AI in Healthcare – How Ethics Can and Should Shape Regulation, Development, and the Use of AI in Australia\u2019s Healthcare System<\/strong>
\nProf Jeannie Paterson<\/strong>, Professor of Consumer Protection and Technology Law, Director of the Centre for AI and Digital Ethics, The University of Melbourne; Affiliated Researcher ARC Centre of Excellence for Automated Decision-Making and Society\n<\/td>\n<\/tr>\n

10:30 am<\/td>\nMorning Tea<\/td>\n<\/tr>\n
11.15 am<\/td>\nMorning Concurrent<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
<\/td>\nSession 110 – AI in Real Life<\/strong><\/td>\nSession 111 – The Science of Implementation<\/strong><\/td>\nSession 112 – EIDH<\/strong><\/td>\n<\/tr>\n
11:15 am<\/td>\nFrom Models to Medicines: Implementing AI-Assisted Drug Discovery Pipelines in Healthcare Research<\/strong>
\nDr Moji Ghadimi<\/strong>, QCIF Digital Research\n<\/td>\n		Building a Trusted AI Health Companion: Implementation Lessons From Healthdirect\u2019s Proof of Concept<\/strong>
\nDr Thomas Hambly<\/strong>, Healthdirect Australia\n<\/td>\n		\nEIDH SESSION – How to Demonstrate Trustworthy AI in Health Services<\/strong>
\nChair: David Kempson<\/strong><\/p>\n

LESSONS FROM THE FRONTLINES<\/span>
\nDavid Kempson<\/strong> and Dr Natalie Smith<\/strong><\/p>\n

Artificial intelligence holds genuine promise for improving care quality, equity and efficiency across Australia\u2019s health system. Yet public and clinician trust in health AI remains fragile, and the consequences of getting it wrong, for patients, for institutions, and for the broader digital health agenda are significant. This session asks the question that matters most to health leaders right now: how do you demonstrate, credibly and concretely, that your organisation is using AI in a trustworthy way?\n<\/td>\n<\/tr>\n

11:30 am<\/td>\nOpen-source, Bias-aware AI Fact-checking of Therapeutic Claims for Clinicians<\/strong><\/p>\n

Dr Horst Herb<\/strong>, Queensland Health\n<\/td>\n

GP Clinical Notes to Structured FHIR Data: An Agentic Approach Using SMART on FHIR<\/strong><\/p>\n

Dion McMurtrie<\/strong>, Australian eHealth Research Centre<\/td>\n<\/tr>\n

11:45 am<\/td>\nYou’re hacked! From Compliance to Resilience: Privacy Reform, AI Governance and Cyber-Incident-Response in Digital Health<\/strong><\/p>\n

Leah Mooney<\/strong>, Wotton Kearney<\/td>\n

Real-world AI Adoption: How Northern Imaging Victoria Evaluated and Implemented Lunit Insight CXR<\/strong><\/p>\n

Asim Jaleel<\/strong>, Northern Imaging Victoria, Northern Health<\/td>\n<\/tr>\n

12:00 pm<\/td>\nPractical Implementation of AI<\/strong><\/p>\n

Dr Raymond Wen<\/strong>, Telecare Australia\n<\/td>\n

Implementing Ambient AI Clinical Documentation in Regional and Rural Australian General Practice and Urgent Care<\/strong><\/p>\n

A\/Prof Eric Miller<\/strong>, Ochre Health<\/td>\n<\/tr>\n

12:15 pm<\/td>\nVaxPulse: AI-driven learning health system for real-time vaccine public intelligence<\/strong>
\nDr Muhammad Javed<\/strong>, Centre for Health Analytics, Murdoch Children’s Research Institute\n<\/td>\n		From Algorithm to Action: Deploying a Real-Time AI Deterioration Prediction Tool at Scale<\/strong>
\nAlan Scanlon CHIA<\/strong>, Manager Data & Analytics Service, Metro South Health Service<\/td>\n<\/tr>\n
12:45 pm<\/td>\nLunch<\/td>\n<\/tr>\n
1:45 pm<\/td>\nAfternoon Concurrent Sessions<\/strong><\/td>\n<\/tr>\n
<\/td>\nSession 120 – Safe and Ethical use of AI<\/strong><\/td>\nSession 121 – A View of the Future<\/strong><\/td>\nSession 122 \u2013 AI in Priority Populations<\/strong><\/td>\n<\/tr>\n
1:45 pm<\/td>\nLarge Language Models in Aboriginal and Torres Strait Islander Health<\/strong><\/p>\n

Bronwyn Krieg<\/strong>, Central Adelaide Local Health Network<\/td>\n

A View of the Future: Multimodal Synthetic Data as a Catalyst for Medical AI Innovation<\/strong><\/p>\n

Prof Sandeep Reddy<\/strong>, Queensland University of Technology\n<\/td>\n

Closing the Care Continuity Gap: Clinical Intelligence for Chronic Disease Management in Australian General Practice<\/strong><\/p>\n

Smriti Bangera<\/strong>, Chloris Labs<\/td>\n<\/tr>\n

2:00 pm<\/td>\nInvesting in Workforce Readiness for Safe and Ethical AI Use<\/strong>
\nDr Rafiah Ansari<\/strong>, Federation University<\/td>\n		The Threat that Learns: AI-driven Cyber Attacks and the Case for Collective Defence in Healthcare<\/strong>
\nDr Huon Curtis<\/strong>, CI-ISAC Australia<\/td>\n		Building Cultural Intelligence into AI: Developing an Indigenous-led Rubric for LLM-based Research Appraisal<\/strong>
\nDr Lucy Shinners<\/strong>, The University of Queensland<\/td>\n<\/tr>\n
2:15 pm<\/td>\nGoverning Autonomous Agentic AI Safely: A Framework for Graded Autonomy<\/strong><\/p>\n

Dr Sing Chee Tan<\/strong>, Northern Health<\/td>\n

Wearable Technology and AI in Paediatric Oncology: Beyond Proof of Concept to Real-World Implementation<\/strong><\/p>\n

Lane Collier<\/strong>, Murdoch Children’s Research Institute\n<\/td>\n

Can I Be Myself Here? How Algorithmic Spaces Impact Identity Disclosure & Connectedness Among LGBTQIA+<\/strong><\/p>\n

Dr Cindy Branch-Smith<\/strong>, Edith Cowan University<\/td>\n<\/tr>\n

2:30pm<\/td>\nTowards a National Federated Learning Solution for AI Driven Healthcare Research<\/strong>
\nPeter Marendy<\/strong>, QCIF Digital Research\n<\/td>\n		Development and Evaluation of Dynamic Prediction Models in Intensive Care: A Systematic Review<\/strong>
\nEugene Slaughter<\/strong>, The University of Queensland<\/td>\n		AI Safety and AI Ethics for Australian Healthcare, with Particular Focus on Children<\/strong>
\nDr Sandra L J Johnson<\/strong>, Child Development Paediatrics & The University Of Sydney\n<\/td>\n<\/tr>\n
2:45pm<\/td>\nRight-sizing Safety: A Proportionate, Governable Virtual Research Environment for the Safe-ethical use of AI<\/strong>
\nDr Gnana Bharathy<\/strong>, ARDC<\/td>\n		Catchlight: AI-assisted Breast Cancer Referral Triage System Trial at Peter MacCallum Cancer Centre Breast Unit<\/strong>
\nDr David Speakman<\/strong>, Peter MacCallum Cancer Centre<\/td>\n		Moving Aged Care from Reactive Compliance to Proactive, Evidence-led Preventive Care: The Evidencea Platform<\/strong>
\nBen Shemesh<\/strong>, Monash University<\/td>\n<\/tr>\n
3:00pm<\/td>\n<\/td>\nAutomating Clinical Information Extraction in Radiation Oncology: A Systematic Review of Real-world Methods & Performance<\/strong>
\nGabriella La Macchia<\/strong>, Sir Charles Gairdner Hospital<\/td>\n		<\/td>\n<\/tr>\n
3:15 pm<\/td>\nAfternoon Tea<\/td>\n<\/tr>\n
3:45 pm<\/td>\nAfternoon Plenary<\/strong><\/td>\n<\/tr>\n
3:45 pm<\/td>\nKeynote Panel – Data in the Age of AI \u2013 Value, Sovereignty, Storage and Politics<\/strong>
\nThe value of health data in the age of AI cannot be overstated. However, the rapid expansion of data centres in Australia has raised important questions about how we balance the extraordinary medical advances enabled by AI with broader community, social, environmental, and human health considerations.<\/p>\n

Facilitator: <\/p>\n

Panel Speakers:<\/span>
\nProf Jeannie Paterson:<\/strong> Professor of Consumer Protection and Technology Law, Director of the Centre for AI and Digital Ethics, The University of Melbourne; Affiliated Researcher ARC Centre of Excellence for Automated Decision-Making and Society
\nMarina Yastreboff:<\/strong> General Counsel, ServiceGen and Managing Director Onmarq Pty Limited
\nChloe Shorten:<\/strong> Australian company director, corporate affairs specialist, author, and public advocate
\nAbigail Boyd:<\/strong> MLC, NSW Parliament
\nDavid Dzienciol:<\/strong> Chief Customer and Commercial Officer NEXTDC <\/p>\n<\/td>\n<\/tr>\n

4:45 pm<\/td>\nDAY 1 CLOSE<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n[\/et_pb_tab][et_pb_tab title=”Day 2 – Tuesday 24 November” _builder_version=”4.27.8″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]\n\n\n\n\n\n\n\n\n\n\n\n\n\n
8:00 am<\/td>\nRegistration opens<\/td>\n<\/tr>\n
8:45 am<\/td>\nDay Two Opening Plenary – Crown Melbourne<\/strong><\/td>\n<\/tr>\n
9:00 am<\/td>\nWelcome to Day 2<\/td>\n<\/tr>\n
<\/td>\nKeynote Presentations – Developing and Deploying AI in Australia; a Technologist\u2019s View<\/strong>
\nThe current development and deployment of AI in Australia is relatively unconstrained – we don\u2019t have onerous standards or restraints – and yet deployment is not at scale. Are infrastructure, governance, and workforce constraints stifling capability?<\/p>\n

How can we create an environment for software and technology developers to flourish and make Australia more competitive and self-reliant?<\/p>\n

Facilitator: Angela Ryan FAIDH and Board member of AIDH<\/strong>, Lead Healthcare Executive, Oracle Health<\/p>\n<\/td>\n<\/tr>\n

9:10 am<\/td>\nKate Quirke:<\/strong> Group Managing Director and CEO, Alcidion\n<\/td>\n<\/tr>\n
9:20 am<\/td>\nDr Vinod Seetharaman<\/strong>, Chief Medical Officer, Australia and NZ, Dedalus\n<\/td>\n<\/tr>\n
9:30 am<\/td>\nDr Emeline Ramos:<\/strong> Physician Executive at InterSystems\n<\/td>\n<\/tr>\n
9:40 am<\/td>\n\n<\/td>\n<\/tr>\n
9:50 am<\/td>\nFacilitated Q&A\n<\/td>\n<\/tr>\n
10:30 am<\/td>\nMorning Tea<\/td>\n<\/tr>\n
11.15 am<\/td>\nMorning Concurrent Sessions<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n10:30 am
\nMorning Tea\n<\/p>\n

\n11.15 am
\nMorning Concurrent<\/strong>\n<\/p>\n

Session 110 – AI in Real Life<\/strong><\/p>\n

11:15 am
\nFrom Models to Medicines: Implementing AI-Assisted Drug Discovery Pipelines in Healthcare Research<\/strong>
\nDr Moji Ghadimi<\/strong>, QCIF Digital Research<\/p>\n

11:30 am
\nOpen-source, Bias-aware AI Fact-checking of Therapeutic Claims for Clinicians<\/strong>
\nDr Horst Herb<\/strong>, Queensland Health<\/p>\n

11:45 am
\nYou’re hacked! From Compliance to Resilience: Privacy Reform, AI Governance and Cyber-Incident-Response in Digital Health<\/strong>
\nLeah Mooney<\/strong>, Wotton Kearney<\/p>\n

12:00 pm
\nPractical Implementation of AI<\/strong>
\nDr Raymond Wen<\/strong>, Telecare Australia<\/p>\n

12:15 pm
\nVaxPulse: AI-driven learning health system for real-time vaccine public intelligence<\/strong>
\nDr Muhammad Javed<\/strong>, Centre for Health Analytics, Murdoch Children’s Research Institute<\/p>\n

Session 111 – The Science of Implementation<\/strong><\/p>\n

11:15 am
\nBuilding a Trusted AI Health Companion: Implementation Lessons From Healthdirect\u2019s Proof of Concept<\/strong>
\nDr Thomas Hambly<\/strong>, Healthdirect Australia<\/p>\n

11:30 am
\nGP Clinical Notes to Structured FHIR Data: An Agentic Approach Using SMART on FHIR<\/strong>
\nDion McMurtrie<\/strong>, Australian eHealth Research Centre<\/p>\n

11:45 am
\nReal-world AI Adoption: How Northern Imaging Victoria Evaluated and Implemented Lunit Insight CXR<\/strong>
\nAsim Jaleel<\/strong>, Northern Imaging Victoria, Northern Health<\/p>\n

12:00 pm
\nImplementing Ambient AI Clinical Documentation in Regional and Rural Australian General Practice and Urgent Care<\/strong>
\nA\/Prof Eric Miller<\/strong>, Ochre Health<\/p>\n

12:15 pm
\nFrom Algorithm to Action: Deploying a Real-Time AI Deterioration Prediction Tool at Scale<\/strong>
\nAlan Scanlon CHIA<\/strong>, Manager Data & Analytics Service, Metro South Health Service<\/p>\n

Session 112 – EIDH<\/strong><\/p>\n

11:15 am
\nEIDH SESSION – How to Demonstrate Trustworthy AI in Health Services<\/strong>
\nChair: David Kempson<\/strong><\/p>\n

LESSONS FROM THE FRONTLINES<\/span>
\nDavid Kempson<\/strong> and Dr Natalie Smith<\/strong><\/p>\n

Artificial intelligence holds genuine promise for improving care quality, equity and efficiency across Australia\u2019s health system. Yet public and clinician trust in health AI remains fragile, and the consequences of getting it wrong, for patients, for institutions, and for the broader digital health agenda are significant. This session asks the question that matters most to health leaders right now: how do you demonstrate, credibly and concretely, that your organisation is using AI in a trustworthy way?<\/p>\n

\n12:45 pm
\nLunch\n<\/p>\n

Afternoon Concurrent Sessions<\/strong>\n<\/p>\n

Session 120 – Safe and Ethical use of AI<\/strong><\/p>\n

1:45 pm
\nLarge Language Models in Aboriginal and Torres Strait Islander Health<\/strong>
\nBronwyn Krieg<\/strong>, Central Adelaide Local Health Network<\/p>\n

2:00 pm
\nInvesting in Workforce Readiness for Safe and Ethical AI Use<\/strong>
\nDr Rafiah Ansari<\/strong>, Federation University<\/p>\n

2:15 pm
\nGoverning Autonomous Agentic AI Safely: A Framework for Graded Autonomy<\/strong>
\nDr Sing Chee Tan<\/strong>, Northern Health<\/p>\n

2:30pm
\nTowards a National Federated Learning Solution for AI Driven Healthcare Research<\/strong>
\nPeter Marendy<\/strong>, QCIF Digital Research<\/p>\n

2:45pm
\nRight-sizing Safety: A Proportionate, Governable Virtual Research Environment for the Safe-ethical use of AI<\/strong>
\nDr Gnana Bharathy<\/strong>, ARDC<\/p>\n

3:00 pm
\nTBA<\/p>\n

Session 121 – A View of the Future<\/strong><\/p>\n

1:45 pm
\nA View of the Future: Multimodal Synthetic Data as a Catalyst for Medical AI Innovation<\/strong>
\nProf Sandeep Reddy<\/strong>, Queensland University of Technology<\/p>\n

2:00 pm
\nThe Threat that Learns: AI-driven Cyber Attacks and the Case for Collective Defence in Healthcare<\/strong>
\nDr Huon Curtis<\/strong>, CI-ISAC Australia<\/p>\n

2:15 pm
\nWearable Technology and AI in Paediatric Oncology: Beyond Proof of Concept to Real-World Implementation<\/strong>
\nLane Collier<\/strong>, Murdoch Children\u2019s Research Institute<\/p>\n

2:30pm
\nDevelopment and Evaluation of Dynamic Prediction Models in Intensive Care: A Systematic Review<\/strong>
\nEugene Slaughter<\/strong>, The University of Queensland<\/p>\n

2:45pm
\nCatchlight: AI-assisted Breast Cancer Referral Triage System Trial at Peter MacCallum Cancer Centre Breast Unit<\/strong>
\nDr David Speakman<\/strong>, Peter MacCallum Cancer Centre<\/p>\n

3:00pm
\nAutomating Clinical Information Extraction in Radiation Oncology: A Systematic Review of Real-world Methods & Performance<\/strong>
\nGabriella La Macchia<\/strong>, Sir Charles Gairdner Hospital<\/p>\n

Session 122 \u2013 AI in Priority Populations<\/strong><\/p>\n

1:45 pm
\nClosing the Care Continuity Gap: Clinical Intelligence for Chronic Disease Management in Australian General Practice<\/strong>
\nSmriti Bangera<\/strong>, Chloris Labs<\/p>\n

2:00 pm
\nBuilding Cultural Intelligence into AI: Developing an Indigenous-led Rubric for LLM-based Research Appraisal<\/strong>
\nDr Lucy Shinners<\/strong>, The University of Queensland<\/p>\n

2:15 pm
\nCan I Be Myself Here? How Algorithmic Spaces Impact Identity Disclosure & Connectedness Among LGBTQIA+<\/strong>
\nDr Cindy Branch-Smith<\/strong>, Edith Cowan University<\/p>\n

2:30pm
\nAI Safety and AI Ethics for Australian Healthcare, with Particular Focus on Children<\/strong>
\nDr Sandra L J Johnson<\/strong>, Child Development Paediatrics & The University Of Sydney<\/p>\n

2:45pm
\nMoving Aged Care from Reactive Compliance to Proactive, Evidence-led Preventive Care: The Evidencea Platform<\/strong>
\nBen Shemesh<\/strong>, Monash University<\/p>\n

3:00pm
\nTBA<\/p>\n

\n3:15 pm<\/p>\n
<\/td>\nSession 110 – AI Around the World<\/strong><\/td>\nSession 111 – AI in Real Life<\/strong><\/td>\nSession 112 – The Science of Implementation<\/strong><\/td>\n<\/tr>\n
11:15 am<\/td>\nAI and Digital Health for Aged Care: a Global Bibliometric Analysis<\/strong>
\nA\/Prof Gordana Dermody<\/strong>, Federation University\n<\/td>\n		Designed Elsewhere, Used Everywhere: How Digitized Clinical Risk Tools Fail Remote Health Practice<\/strong>
\nAlexandra Shine<\/strong>, Central Queensland University\n<\/td>\n		\nAI Readiness in the Health Workforce: Education and Training Approaches<\/strong>
\nDr Josephine Okurame<\/strong>, The University of Queensland<\/p>\n<\/td>\n<\/tr>\n
11:30 am<\/td>\nPredict, Prepare, Personalise: SOMIP AI \u2013 the Future of Surgical Risk Prediction<\/strong>
\nKa Shing Yim<\/strong>, Hong Kong Hospital Authority\n<\/td>\n		From Pop-Up Clinics to Persistent Prevention: Implementing AI-Assisted Skin Cancer Detection in Regional Australia<\/strong>
\nScott Maggs<\/strong>, Skin Check Champions<\/td>\n		Machine Learning for Outcome Prediction in Pediatric Cardiac Surgery: Evidence, Reporting Quality, and Translational Readiness<\/strong>
\nDr Supreet Marathe<\/strong>, Queensland Children’s Hospital<\/td>\n<\/tr>\n
11:45 am<\/td>\nPopulation-scale Risk Models for Severe Outcomes of Respiratory Infectious Disease in New Zealand<\/strong>
\nDr Steffen Albrecht<\/strong>, The University of Auckland<\/td>\n		The Chatbots Are Already in the Room: AI’s Unsupervised Reality in Mental Health Care<\/strong>
\nAmber Macdonald<\/strong>, ANTSA<\/td>\n		Using AI to Map the Implementation Gap in Australian Residential Aged Care<\/strong>
\nDr Marian Sassoli<\/strong>, Griffith University<\/td>\n<\/tr>\n
12:00 pm<\/td>\nSafe, Responsible Use of AI Quality Control for Human Cognition-AI Cardiotoxicity System Engineering Behavior Change<\/strong>
\nDr Pantea Keikhosrokiani<\/strong>, The University of Oulu<\/td>\n		Automatic Classification of Free-text Indications in EMRs to Support Antimicrobial Stewardship at Scale<\/strong>
\nDr David Martinez<\/strong>, RMIT\n<\/td>\n		Deep Understanding versus Deep Learning approaches for Case Identification and Autocoding of Cancer Pathology Reports<\/strong>
\nProf Jon Patrick<\/strong>, Health Language Analytics<\/td>\n<\/tr>\n
12:15 pm<\/td>\nUsing the AI Pre-Implementation Evaluation Framework to Guide AI Governance Decision-Making in Aotearoa New Zealand<\/strong>
\nA\/Prof Rosie Dobson<\/strong>, University of Auckland and Health NZ\n<\/td>\n		Thinking Machines at the Bedside: An Evidence About AI in Clinical Diagnosis and Decision Support<\/strong>
\nIqra Mumtaz<\/strong>, IMT Lucca\n<\/td>\n		Navigating AI Radiology Platform Implementation in an Australian Metropolitan Hospital Network: Approach and Learnings<\/strong>
\nDr Caitlin Farmer<\/strong>, Monash Health\n<\/td>\n<\/tr>\n
12:30 pm<\/td>\nImplementing Digital Health in Primary Care for Chronic Diseases: Barriers, Facilitators, and Lessons from India<\/strong>
\nProf Purabi Phukan<\/strong>, All India Institute Of Medical Sciences, Guwahati\n<\/td>\n		\n<\/td>\n\n<\/td>\n<\/tr>\n
12:45 pm<\/td>\nLunch<\/td>\n<\/tr>\n
1:45 pm<\/td>\nAfternoon Concurrent Sessions<\/strong><\/td>\n<\/tr>\n
<\/td>\nSession 120 – A View of the Future<\/strong><\/td>\nSession 121 – Safe and Ethical Use of AI<\/strong><\/td>\nCSIRO<\/strong><\/td>\n<\/tr>\n
1:45 pm<\/td>\nHeterogeneity in Brain Microplastic Detection: A Scoping Review of AI-Assisted Recognition Pipelines<\/strong>
\nProf Nasim Salehi<\/strong>, Bond University<\/td>\n		From Classification to Quantifiable AI Assurance: Operationalising Risk and Trustworthiness for Healthcare<\/strong>
\nProf Fang Chen<\/strong>, University of Technology Sydney\n<\/td>\n		TBA<\/td>\n<\/tr>\n
2:00 pm<\/td>\nBeyond AI Training: Building Workforce Capability for Digital Health Transformation<\/strong>
\nA\/Prof Tangerine Holt<\/strong>, Centre For Digital Transformation Of Health, University Of Melbourne<\/td>\n		Integrating Digital and AI determinants of Health into Primary Care for Young Australians<\/strong>
\nProf Nasim Salehi<\/strong>, Bond University<\/td>\n<\/tr>\n
2:15 pm<\/td>\nEpistemic Integrity in Clinical AI: Quantum Cognitive Neural Networks for Uncertainty-Aware Diagnosis<\/strong>
\nMilan Maksimovic<\/strong>, AI and Cyber Futures Institute<\/td>\n		Clinician-Governed AI: Visible Support in the Between-Session Space<\/strong>
\nSally-Anne McCormack<\/strong>, ANTSA\n<\/td>\n<\/tr>\n
2:30pm<\/td>\nIntegration of Artificial Intelligence into Mammogram Reading<\/strong>
\nLuke Neill<\/strong>, Breastscreen Victoria\n<\/td>\n		AI Guidance for Health Service Organisations<\/strong>
\nRachael Simons<\/strong>, Australian Commission on Safety and Quality in Health Care\n<\/td>\n<\/tr>\n
2:45pm<\/td>\nForecasting the Future Nursing Workforce: Leveraging AI and Hybrid Models for Smarter Healthcare Staffing<\/strong>
\nDr Ahmad Mousa<\/strong>, Edith Cowan University<\/td>\n		Understanding LLM Behavioural Limitations for Safe Adherence-Relevant Extraction: Toward a Patient\u2013Clinician\u2013AI Artefact Triad in Oncology<\/strong>
\nProf Nilmini Wickramasinghe<\/strong>, La Trobe University\n<\/td>\n<\/tr>\n
3:00pm<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
3:15 pm<\/td>\nAfternoon Tea<\/td>\n<\/tr>\n
3:45 pm<\/td>\nAfternoon Plenary<\/strong><\/td>\n<\/tr>\n
3:45 pm<\/td>\nClosing Keynote<\/span><\/p>\n

Before the Click: Health Advice & Navigation in the Zero-Click Era<\/strong>
\nThis session explores how AI can be used to improve access to healthcare, drawing on Healthdirect\u2019s experience and insights from the past 12 months. It will highlight key lessons learned, practical challenges encountered, and opportunities for using AI to create more accessible, responsive and effective healthcare services.<\/p>\n

Bettina McMahon<\/strong>, CEO of Healthdirect\n<\/td>\n<\/tr>\n

4:45 pm<\/td>\nDAY 2 CLOSE<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n[\/et_pb_tab][\/et_pb_tabs][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.27.5″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.5″ _module_preset=”default” global_colors_info=”{}”][et_pb_tabs disabled_on=”off|on|on” admin_label=”Tabs – MOBILE” _builder_version=”4.27.8″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][et_pb_tab title=”Day 1 – Monday 23 November” _builder_version=”4.27.5″ _module_preset=”default” global_colors_info=”{}”]7:30 am
\nRegistration opens<\/p>\n

8:45 am
\nAI. Care Day One Opening Plenary – Crown Melbourne<\/strong>\n<\/p>\n

9:00 am
\nWelcome Anja Nikolic<\/strong>, CEO AIDH<\/p>\n

9:10 am
\nWelcome to Country<\/p>\n

9:20 am
\nOpening Address<\/strong>
\nAmanda Cattermole PSM<\/strong>, CEO, Australian Digital Health Agency\n<\/p>\n

\n9:35 am
\nOPENING KEYNOTE<\/span><\/p>\n


\nThe Moral Compass: Ethical Considerations for AI in Healthcare – How Ethics Can and Should Shape Regulation, Development, and the Use of AI in Australia\u2019s Healthcare System<\/strong>
\nProf Jeannie Paterson<\/strong>, Professor of Consumer Protection and Technology Law, Director of the Centre for AI and Digital Ethics, The University of Melbourne; Affiliated Researcher ARC Centre of Excellence for Automated Decision-Making and Society<\/p>\n

Afternoon Tea\n<\/p>\n

Afternoon Plenary<\/strong>\n<\/p>\n

\n3:45 pm
\nKeynote Panel – Data in the Age of AI \u2013 Value, Sovereignty, Storage and Politics<\/strong>
\nThe value of health data in the age of AI cannot be overstated. However, the rapid expansion of data centres in Australia has raised important questions about how we balance the extraordinary medical advances enabled by AI with broader community, social, environmental, and human health considerations.<\/p>\n

Facilitator: <\/p>\n

Panel Speakers:<\/span>
\nProf Jeannie Paterson:<\/strong> Professor of Consumer Protection and Technology Law, Director of the Centre for AI and Digital Ethics, The University of Melbourne; Affiliated Researcher ARC Centre of Excellence for Automated Decision-Making and Society
\nMarina Yastreboff:<\/strong> General Counsel, ServiceGen and Managing Director Onmarq Pty Limited
\nChloe Shorten:<\/strong> Australian company director, corporate affairs specialist, author, and public advocate
\nAbigail Boyd:<\/strong> MLC, NSW Parliament
\nDavid Dzienciol:<\/strong> Chief Customer and Commercial Officer NEXTDC <\/p>\n

\n4:45 pm
\nDAY 1 CLOSE\n<\/p>\n[\/et_pb_tab][et_pb_tab title=”Day 2 – Tuesday 24 November” _builder_version=”4.27.8″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]8:00 am
\nRegistration opens<\/p>\n

8:45 am
Day Two Opening Plenary – Crown Melbourne<\/strong><\/p>\n

9:00 am
\nWelcome to Day 2<\/p>\n

Keynote Presentations – Developing and Deploying AI in Australia; a Technologist\u2019s View<\/strong>
\nThe current development and deployment of AI in Australia is relatively unconstrained – we don\u2019t have onerous standards or restraints – and yet deployment is not at scale. Are infrastructure, governance, and workforce constraints stifling capability?<\/p>\n

How can we create an environment for software and technology developers to flourish and make Australia more competitive and self-reliant?<\/p>\n

Facilitator: Angela Ryan FAIDH and Board member of AIDH<\/strong>, Lead Healthcare Executive, Oracle Health<\/p>\n

9:10 am
\nKate Quirke:<\/strong> Group Managing Director and CEO, Alcidion<\/p>\n

9:20 am
\nDr Vinod Seetharaman<\/strong>, Chief Medical Officer, Australia and NZ, Dedalus<\/p>\n

9:30 am
\nDr Emeline Ramos:<\/strong> Physician Executive at InterSystems<\/p>\n

9:40 am
\nTBA<\/p>\n

9:50 am
\nFacilitated Q&A<\/p>\n

\n10:30 am
\nMorning Tea\n<\/p>\n

11.15 am<\/p>\n

Morning Concurrent Sessions<\/strong>\n<\/p>\n

Session 110 – AI Around the World<\/strong><\/p>\n

11:15 am
\nAI and Digital Health for Aged Care: a Global Bibliometric Analysis<\/strong>
\nA\/Prof Gordana Dermody<\/strong>, Federation University<\/p>\n

11:30 am
\nPredict, Prepare, Personalise: SOMIP AI \u2013 the Future of Surgical Risk Prediction<\/strong>
\nKa Shing Yim<\/strong>, Hong Kong Hospital Authority<\/p>\n

11:45 am
\nPopulation-scale Risk Models for Severe Outcomes of Respiratory Infectious Disease in New Zealand<\/strong>
\nDr Steffen Albrecht<\/strong>, The University of Auckland<\/p>\n

12:00 pm
\nSafe, Responsible Use of AI Quality Control for Human Cognition-AI Cardiotoxicity System Engineering Behavior Change<\/strong>
\nDr Pantea Keikhosrokiani<\/strong>, The University of Oulu<\/p>\n

12:15 pm
\nUsing the AI Pre-Implementation Evaluation Framework to Guide AI Governance Decision-Making in Aotearoa New Zealand<\/strong>
\nA\/Prof Rosie Dobson<\/strong>, University of Auckland and Health NZ<\/p>\n

12:30 pm
\nImplementing Digital Health in Primary Care for Chronic Diseases: Barriers, Facilitators, and Lessons from India<\/strong>
\nProf Purabi Phukan<\/strong>, All India Institute Of Medical Sciences, Guwahati<\/p>\n

Session 111 – AI in Real Life<\/strong><\/p>\n

11:15 am
\nDesigned Elsewhere, Used Everywhere: How Digitized Clinical Risk Tools Fail Remote Health Practice<\/strong>
\nAlexandra Shine<\/strong>, Central Queensland University<\/p>\n

11:30 am
\nFrom Pop-Up Clinics to Persistent Prevention: Implementing AI-Assisted Skin Cancer Detection in Regional Australia<\/strong>
\nScott Maggs<\/strong>, Skin Check Champions<\/p>\n

11:45 am
\nThe Chatbots Are Already in the Room: AI’s Unsupervised Reality in Mental Health Care<\/strong>
\nAmber Macdonald<\/strong>, ANTSA<\/p>\n

12:00 pm
\nAutomatic Classification of Free-text Indications in EMRs to Support Antimicrobial Stewardship at Scale<\/strong>
\nDr David Martinez<\/strong>, RMIT<\/p>\n

12:15 pm
\nThinking Machines at the Bedside: An Evidence About AI in Clinical Diagnosis and Decision Support<\/strong>
\nIqra Mumtaz<\/strong>, IMT Lucca<\/p>\n

12:30 pm
\nTBA<\/p>\n

Session 112 – The Science of Implementation<\/strong><\/p>\n

11:15 am
\nAI Readiness in the Health Workforce: Education and Training Approaches<\/strong>
\nDr Josephine Okurame<\/strong>, The University of Queensland<\/p>\n

11:30 am
\nMachine Learning for Outcome Prediction in Pediatric Cardiac Surgery: Evidence, Reporting Quality, and Translational Readiness<\/strong>
\nDr Supreet Marathe<\/strong>, Queensland Children’s Hospital<\/p>\n

11:45 am
\nUsing AI to Map the Implementation Gap in Australian Residential Aged Care<\/strong>
\nDr Marian Sassoli<\/strong>, Griffith University<\/p>\n

12:00 pm
\nDeep Understanding versus Deep Learning approaches for Case Identification and Autocoding of Cancer Pathology Reports<\/strong>
\nProf Jon Patrick<\/strong>, Health Language Analytics<\/p>\n

12:15 pm
\nNavigating AI Radiology Platform Implementation in an Australian Metropolitan Hospital Network: Approach and Learnings<\/strong>
\nDr Caitlin Farmer<\/strong>, Monash Health<\/p>\n

\n12:30 pm
\nTBA<\/p>\n

\n12:45 pm
\nLunch\n<\/p>\n

1:45 pm<\/p>\n

Afternoon Concurrent Sessions<\/strong>\n<\/p>\n

Session 120 – A View of the Future<\/strong><\/p>\n

1:45 pm
\nHeterogeneity in Brain Microplastic Detection: A Scoping Review of AI-Assisted Recognition Pipelines<\/strong>
\nProf Nasim Salehi<\/strong>, Bond University<\/p>\n

2:00 pm
\nBeyond AI Training: Building Workforce Capability for Digital Health Transformation<\/strong>
\nA\/Prof Tangerine Holt<\/strong>, Centre For Digital Transformation Of Health, University Of Melbourne<\/p>\n

2:15 pm
\nEpistemic Integrity in Clinical AI: Quantum Cognitive Neural Networks for Uncertainty-Aware Diagnosis<\/strong>
\nMilan Maksimovic<\/strong>, AI and Cyber Futures Institute<\/p>\n

2:30pm
\nIntegration of Artificial Intelligence into Mammogram Reading<\/strong>
\nLuke Neill<\/strong>, Breastscreen Victoria<\/p>\n

2:45pm
\nForecasting the Future Nursing Workforce: Leveraging AI and Hybrid Models for Smarter Healthcare Staffing<\/strong>
\nDr Ahmad Mousa<\/strong>, Edith Cowan University<\/p>\n

Session 121 – Safe and Ethical Use of AI<\/strong><\/p>\n

1:45 pm
\nFrom Classification to Quantifiable AI Assurance: Operationalising Risk and Trustworthiness for Healthcare<\/strong>
\nProf Fang Chen<\/strong>, University of Technology Sydney<\/p>\n

2:00 pm
\nIntegrating Digital and AI determinants of Health into Primary Care for Young Australians<\/strong>
\nProf Nasim Salehi<\/strong>, Bond University<\/p>\n

2:15 pm
\nClinician-Governed AI: Visible Support in the Between-Session Space<\/strong>
\nSally-Anne McCormack<\/strong>, ANTSA<\/p>\n

2:30pm
\nAI Guidance for Health Service Organisations<\/strong>
\nRachael Simons<\/strong>, Australian Commission on Safety and Quality in Health Care<\/p>\n

2:45pm
\nUnderstanding LLM Behavioural Limitations for Safe Adherence-Relevant Extraction: Toward a Patient\u2013Clinician\u2013AI Artefact Triad in Oncology<\/strong>
\nProf Nilmini Wickramasinghe<\/strong>, La Trobe University<\/p>\n

CSIRO<\/strong><\/p>\n

1:45 pm
\nTBA<\/p>\n

\n3:15 pm
\nAfternoon Tea\n<\/p>\n

\nAfternoon Plenary<\/strong>\n<\/p>\n

3:45 pm
\nClosing Keynote<\/span><\/p>\n

Before the Click: Health Advice & Navigation in the Zero-Click Era<\/strong>
\nThis session explores how AI can be used to improve access to healthcare, drawing on Healthdirect\u2019s experience and insights from the past 12 months. It will highlight key lessons learned, practical challenges encountered, and opportunities for using AI to create more accessible, responsive and effective healthcare services.<\/p>\n

Bettina McMahon<\/strong>, CEO of Healthdirect <\/p>\n

\n4:45 pm
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