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AI, Machine Learning & Robotics in Health

Demystifying AI, Machine Learning and Robotics in Healthcare

24-25 October 2019 | Radisson Blu Plaza Sydney

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EARLY BIRD RATE (SAVE up to $400) EXPIRES 02 AUGUST 2019 // SEE PRICING BELOW

overview

Now in its second year, this two-day conference moves to Sydney. It will again look beyond the hype to get to the bottom of the real applications of AI & ML in healthcare and the considerations and challenges for use exploring how clinicians and industry alike can leverage these emerging technologies to drive efficiencies, unlock opportunities for discovery and detection, enable greater accuracy and improve health outcomes. Critically, discussion will examine privacy and data protection, patient and clinician trust in these emerging technologies, and jurisdictional policies and strategies in Australia.

FEATURING KEYNOTE ADDRESSES:

Unlocking the Secrets in Your DNA Using Machine Leaning
Dr Denis Bauer, Head cloud computing bioinformatics, CSIRO

INTERNATIONAL INSIGHT | The Role of AI in Healthcare Practices and Its Impact Across Different Sectors Particularly in Chronic Disease
Mark Wang, CPA CA Director, Pureland Venture
Rajesh Dash, MD PhD Cardiologist and Assistant Professor, Stanford University, Co-Founder, HealthPals Inc.

KEY TOPICS INCLUDE:

  • Case Study | Use of AI and Robotics to Improve Health Outcomes in Queensland
  • Using Social Media for Mental Health – Harnessing the Power of Machine Learning
  • Rise of the Machines: Will Robotics and Artificial Intelligence Replace the Doctor?
  • Case Study | AI and Machine Learning Redefining Healthcare – A Global Picture
  • Can Blockchain Improve the Safety, Privacy and Custody of Patient Data?
  • The Omics and Data Revolution in Diabetes Health Care
  • Case Study | Tackling antimicrobial resistance (AMR), the greatest health challenge of our time, by putting A, M and R together
  • Ethics of Artificial Intelligence in Medicine
  • Case Study | “The Nuts and Bolts” Lessons Learnt in Implementing Da Vinci Xi Robot For
  • Advanced Bariatric Surgery – From Concept to Implementation
  • Blackbox Medicine: A Regulatory Framework for AI and ML
  • Panel Discussion | Updating Ageing Platforms Whilst Adopting New Technologies
  • Panel Discussion | Implementation of AI within a Clinical Setting
  • Panel Discussion | Ethics and Integrity of Data Use and Management

Feedback from 2018 delegates:

“The diversity of topics has been great!”
“Good insight into what is being done and what can be done & the realization that everyone faces similar challenges.”
“Inspiring talks of the future of AI.”
“Eye opening to the realities and hype of AI”

Partner with us.
Exciting sponsorship and exhibition opportunities are now available for this event. For more information, please contact Danielle.Newman@informa.com or call (02) 9080 4432

sponsors

agenda

8:50 am

OPENING | Opening remarks from the Chair

9:00 am

—— Genomics produces more data than astronomy, twitter, and YouTube combined, having caused research in this discipline to leapfrog to the forefront of cloud technology
—— Serverless cloud enables the “search engine for the genome” to seamlessly sift through 3 billion letters while having a zero-cost downtime
—— Developing technology in the cloud requires a different approach to DevOps; Examples given for AWS, Alibaba and Azure and a hypothesis-driven approach to DevOps

9:40 am

—— Surgical scheduling tool
—— Readmission prediction tool
—— Tracking mental health patients using geospatial mapping designed for robots

10:15 am

—— Emphasising the need to get ethics of AI right – avoid hampering great work that brings AI into disrepute
—— Developing a regulatory framework around patient safety and quality of care – An overriding requirement
—— Avoidance of bias, explainability and transparency

10:50 am

Networking and refreshment break

11:20 am

—— Artificial intelligence has been applied to automation of complex repetitive task of radiotherapy planning
—— Application of machine learning to the segmentation of structures in medical images
—— Machine learning, and big data are being applied to learn radiotherapy prescribing practices

12:40 am

CASE STUDY | AI and Machine Learning Redefining Healthcare – A Global Picture

Colleen Cunningham Greene, General Manager of Healthcare, DataRobot

1:05 pm

Lunch and networking break

2:05 pm

—— Using social media to detect the mental health of individuals and communities
—— Challenges of working in this space

3:10 pm

—— Technologies that will change the way we practice medicine in the future
—— The barriers and challenges that need to be overcome to enable clinical adoption of new technologies
—— The role of consumers and patients and how trust can be built Dr Amandeep Hansra, GP and Digital Health Consultant, Evermed Consulting

3:40 pm

Networking and refreshment break

4:00 pm

—— What are the organisational and regulatory drivers for AI assurance in health?
—— In which parts of the health value chain will AI assurance be required?
—— How can we assess and improve the quality, safety and reliability of AI systems in health?

4:35 pm

—— What are the barriers to adopting new technologies and how to overcome them?
—— Who are the key decision makers in adoption to new technologies?
—— What are the examples of effective adoption of emerging technologies in a clinical setting?
—— Cost benefit analysis, Quality and safety assessment and Complexity of new processes- overcome the challenge of transition

5:20 pm

Networking Function

8:50 am

OPENING | Opening remarks from the Chair

9:00 am

—— Challenges faced by clinicians in medical practices and the large supply demand gap
—— The current picture and how far has AI come into healthcare in the past few years
—— Examples of how AI played its role in emerging markets and developed countries in healthcare
—— Why physicians are unable to deliver consistent, evidence-based care for chronic diseases
—— Low hanging fruit – the complexity and global challenge of doing the little things right, at scale
—— CLinical INTelligence – how CLINT uses AI to personalize the reduction of chronic disease burden globally

9:40 am

—— Use of AI and omics approaches to accelerate drug discovery
—— New data flows that need to be incorporated into the patient record
—— Combining omics and clinical data to better understand the heterogeneity of disease

10:10 am

—— What change management really means in AI, ML, robotics in healthcare
—— Modern approaches to AI in healthcare settings
—— What does the future of change management look like for healthcare?

10:40 am

Networking and refreshment break

11:10 am

—— Actionable insights that enable smarter decision making around prescribing practices and policies
—— Making bacterial genomic data steams accessible, useable and shareable
—— Realistic application of technology – the case for change, the opportunity and the challenges

11:45 am

—— The presentation highlights the cognitive process, and pathway to safe implementation of robotic technology into a busy clinical practice
——It showcases the step wise process of implementing of this new technology with a focus on safety
—— The presentation aims to provide insights that will shorten the process for those hoping to implement new technology into clinical practice

1:00 pm

Lunch and networking break

2:00 pm

—— Suboptimal patient selection and recruiting techniques
—— High failure rates of clinical trials contribute substantially to the inefficiency of the drug development cycle
—— AI techniques to transform key steps of clinical trial design from study preparation to execution towards improving trial success rates and thus lowering the pharma R&D burden

2:30 pm

Blackbox Medicine: A Regulatory Framework for AI and ML

David Watts, Professor of Information Law and Policy, La Trobe University Law School

3:00 pm

Networking and refreshment break

3:15 pm

—— Burst the bubble on blockchain hype and learn the real practical benefits
—— Learn how to build safe, accessible, transferable patient histories and how to get involved

3:45 pm

—— How to integrate smart algorithms into clinical workflows to engage clinical users at the point of care
—— A case study – How multiple algorithms are combined to implement both prescriptive and predictive algorithms in real-time across clinical data to simplify key clinical workflows

4:15 pm

Closing remarks from the Chair | End of Conference

pricing

Packages Price
Package(Two Days)$2795$2395+GSTEarly BirdEarly Bird
Packages Price
Package(Two Days)$1795$1495+GSTEarly BirdEarly Bird
  • EARLY BIRD RATE EXPIRES 02 AUGUST 2019

speakers

Dr Denis Bauer

Head Cloud Computing Bioinformatics, CSIRO

Mark Wang

CPA CA Director, Pureland Venture

Rajesh Dash

MD PhD Cardiologist and Assistant Professor, Stanford University, Co-Founder, HealthPals Inc.

Associate Professor James Lind

Clinical Lead Health Improvement Unit, CEQ, Department of Health

Professor Lizbeth Kenny AO

Senior Radiation Oncologist, Royal Brisbane and Women's Hospital, Medical Director, CIRCS, Chair, RANZCR Artificial Intelligence Committee

Dr Branwen Morgan

Executive Officer, OUTBREAK

Dr Jeremy Booth

Chief of Medical Physics at Northern Sydney Cancer Centre, Royal North Shore Hospital

Dr Chris Hensman

FRACS, Mas CLAM GI, General and Robotic Surgeon Conjoint lecturer, Monash University and University of Adelaide

Colleen Cunningham Greene

General Manager of Healthcare, DataRobot

Professor Nikolai Petrovsky

Flinders University, Director of Endocrinology, Flinders Medical Centre

Dr Bridianne O’Dea

Senior Research Fellow, Black Dog Institute, UNSW Sydney

Professor James Bailey

School of Computing and Information Systems, University of Melbourne

Stefan Harrer

Manager and Research Staff Member, Brain-Inspired Computing Research, IBM Research Australia, Adjunct Professor, School of Engineering and Information Science, University of Technology Sydney

Shane Evans

Partner and Health Industry Lead, MinterEllison

Professor Erwin Loh

National Chief Medical Officer and Group General Manager of Clinical Governance, St Vincent's Health Australia

Tam Nguyen

Deputy Director of Research, St Vincent's Hospital Melbourne

Dr Malcolm Pradhan

Chief Medical Officer, Alcidion

Dr Amandeep Hansra

GP and Digital Health Consultant, Evermed Consulting

Prof Kon Mouzakis

Co-Director, Applied Artificial Intelligence Institute (A²I²)

Dr Jaffly Chen

Junior Doctor, Orange Health Service, ADHA Clinical Reference Lead, Westpac Future Leaders Scholar

David Watts

Professor of Information Law and Policy, La Trobe University Law School

Robert Dearn

Counsel, Ashurst

Pete Winn

Cloud Evangelist, Oracle

when & where

24 - 25 Oct 2019

Radisson Blu Plaza Sydney
27 O’Connell St, Sydney NSW 2000
(02) 8214 0000

Book Accommodation with Lido Group
For your convenience Lido Group will manage your accommodation needs. Click here or call on 02 8585 0808.

contact

Still have a question?

Parul Mishra
Conference Manager
Parul.Mishra@informa.com
02 9080 4411

Danielle Newman
Business Development Executive
Danielle.Newman@informa.com
02 9080 4432

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