8:00 REGISTRATION

8:30 SESSION 1: HEALTHCARE AI: PAST, PRESENT AND FUTURE

Convener's Welcome 
A/Professor Narinder Singh

Clinical Associate Professor, University of Sydney, Head of Otolaryngology, Head & Neck Surgery, Westmead Hospital

University Welcome 
Dr Andrew Black

Director, Westmead Living Lab, University of Sydney 

Health Informatics Welcome 

Professor Heiko Spallek

Academic Lead, Digital Health and Health Service Informatics, University of Sydney

Official Opening, Guest-Of-Honour 

Jana Pittman

World, Olympic and Commonwealth Champion, 400m/ 400m Hurdles, Medical Student, Westmead Hospital

1.1 Introduction And Historical Overview: The Inevitable Rise Of AI In Healthcare 

Professor Enrico Coiera
Director, Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University

1.2  Healthcare AI In 2019: Where Are We Now?
Professor Louisa Jorm
Director, Centre for Big Data Research in Health, University of NSW

1.3 Opportunities And Challenges: Where Are We Heading?

Professor Dacheng Tao

Director, UBTECH Sydney Artificial Intelligence Centre, University of Sydney

1.4 Industry Perspective: Augmented Intelligence - Working At The Intersection Of AI, Big Data And Healthcare To Drive Better Patient Outcomes

Dr Terry Sweeney
Managing Director (Asia), Partnerships & Commercial Strategy, IBM Watson Health

1.5 Clinical Insight: Using Computer Vision And Natural Language Processing To Decode Cancer

Aparna Elangovan

Solutions Architect, Amazon Web Services

10:30 - 11:00 MORNING TEA

11:00 SESSION 2: HYPE, HOPE OR REALITY – IS THE AI REVOLUTION HERE YET?

2.1  Everyone Likes Innovation. No One Likes Change: How To Prepare For The Digital Disruption Tsunami
Dr Louise Schaper
CEO, Health Informatics Society of Australia

2.2  Industry Perspective: Progressing a Digital Future – Keeping It Real
Dr Nic Woods
Chief Medical Officer, Microsoft Australia

2.3  Data Analytics In Telstra Health: Current Examples And Future Initiatives
Dr Vincent McCauley
Chief Medical Officer, Telstra Health

2.4  Clinical Insight: Using Data Science To Predict Treatment Outcomes In Paediatric Cancer

Professor Paul Kennedy
Director, Biomedical Data Science Laboratory, Head of Discipline (Data Analytics/Artificial Intelligence), University of Technology Sydney

2.5  Clinical Insight: Bringing Trusted AI to the Intensive Care Unit

Dr Brent Richards
Director of Critical Care Research, Gold Coast Health, Associate Professor, Griffith & Bond Universities

2.6  Startup Guide: How To Launch An AI Startup: Doclink’s Journey In The Cicada Medlab Accelerator
Martin Orliac

CEO and Co-Founder, Doclink (Cicada Medlab Accelerator Graduate)

1:00 - 1:45 LUNCH

1:45 SESSION 3: REAL-WORLD IMPLEMENTATION

3.1  People first. Technology second.
Alexander Rannaleet
National Director, Health, Commonwealth Bank

3.2  Clinical Insight: Machine Learning And Medical Records: Identifying Readmission Risk And Other Unexpected Findings
Dr David Hansen
CEO, Australian e-Health Research Centre, CSIRO

3.3  Industry Perspective: The Challenges of Implementing AI in Health Care — Hype vs Reality

Dr Malcolm Pradhan
Chief Medical Officer, Alcidion

3.4  Eight Key Ethical Principles for AI in Medicine

Mark Nevin
Senior Executive Officer, RANZCR (Royal Australian and New Zealand College of Radiologists)

3.5  Using Information Processing Features To Understand Neural Properties
A/Professor Joseph Lizier
Associate Professor in Complex Systems, Faculty of Engineering and IT, University of Sydney

3.6  Clinical Insight: Machine learning in Medical Imaging
A/Professor Jinman Kim
Associate Professor, Faculty of Engineering and IT, University of Sydney

3.7  Clinical Insight: AI In Solving Indigenous Ear Disease 

Dr Al-Rahim Habib

Resident Medical Officer, University of Sydney

3.8 Implementing AI: Key Steps For Hospitals and Providers

Dr Kuljit Singh
President, Association of Private Hospitals, Malaysia, ENT Surgeon

3:40 - 4:00 AFTERNOON TEA

4:00 SESSION 4: PRACTICAL INSIGHTS FROM THE CLINICAL COALFACE

4.1  Harnessing Worldwide Big Data To Transform Radiology And Cardiology: Siemens Healthineers' Teamplay And Other Digital Solutions
Dr Benjamin Schmitt
Head of Collaboration and Research (ANZ), Siemens Healthineers

4.2  Machine Learning Haptic Feedback in Real-Time Surgery, and Intelligent Image Retrieval

Dr Amin Khatami
Senior Data Scientist, Intellify

4.3  Startup Insight: The Anatomy of an AI Healthcare Project
Dr Aengus Tran
CEO and Co-Founder, Harrison.ai

4.4  Government Perspective: Sharing Large Volumes of Data – Made Easy

Dr Ian Oppermann
CEO and Chief Data Scientist, Data Analytics Centre, The Treasury

4.5  How To Mitigate Risk In The Application Of AI In Healthcare: The Critical Importance Of Governance Frameworks

A/Professor Sandeep Reddy
A/Professor of Healthcare Management, Deakin University

4.6  Startup Insight: Bringing Deep Learning To Digital Mammography

Dr Joe Logan
CTO and Co-Founder, Alixir

4.7  Clinical Insight: PET Image Synthesis At Low Dose

Dr Luping Zhao
Senior Lecturer, School of Electrical and Information Engineering, University of Sydney

4.8  Using AI to Maintain Integrity in Medical Coding

Stephan Curiskis

Senior Data Scientist, Lorica Health

4.9 NLP Coming of Age - Automated Case Identification and Coding at the California Cancer Registry

Professor Jon Patrick
CEO, Innovative Clinical Information Management Systems (iCIMS)

4.10 Engagebot: An AI-System to Provide Information Support For Discharged Patients

Dr David Grayson
Clinical Director ORLHNS, Waitemata DHB, Auckland, NZ

6:20 CLOSE