Medical Intelligence Society
Virtual Summit 2022
North America & Europe July 29-30
Australia & New Zealand July 30-31
Third Annual Summit
”Today we realise the importance of enlisting the help of many experts in other fields in our attempts to solve the problem. These fields extend from the extremes of basic sciences to the whole gamut of applied sciences, engineering, biology… Among the investigators must be included biostatisticians with whom the physicians themselves can work closely and in a practical way with mutual respect and cooperation”
Dr Paul Dudley White
"The Cardiologist Enlists the Epidemiologist" 1957
It is with this ethos that the MIS Annual Summit returns in its third iteration with an outstanding faculty featuring speakers from The United States, Australia, New Zealand and Europe. We aim to foster a sense of community and shared understanding among clinicians, nurses, data scientists, engineers and other vital members of the modern healthcare to solve the numerous problems facing our healthcare systems. The age of information is well and truly upon us, and it is time to get real!
Knowledge and understanding of the concepts of medical intelligence is crucial not just to improve health outcomes for our societies, but also to do no harm especially in our current phase of relative naivety. The Summit will explore themes of AI integration to the clinical workflow, its readiness and ethical considerations, a roadmap for responsible adoption, specific applications of AI in medicine and finally encouraging innovative problem solving and entrepreneurship in medicine.
North America & Europe July 29
Australia & New Zealand July 30
Anthony Chang MD MBA MPH MS
Pediatric Cardiologist, Chief Intelligence and Innovation Officer, Children's Health of Orange County.
Editor-in-chief, Intelligence Based Medicine Journal
President, Medical Intelligence Society
Welcome & Program Overview
Zaidon Al-Falahi, FRACP
Consultant Cardiologist, Campbelltown Hospital.
Chair, MIS 2022
Hao Tran, MD
Cardiology Fellow, Liverpool Hospital
Chair, MIS 2022
Curtis Langlotz MD PhD
Professor of Radiology and Biomedical Informatics. Director, Centre for Artificial Intelligence in Medicine and Imaging, Stanford.
"Translation of AI Research Into Clinical Practice"
Francisco Lopez-Jimenez MD
Cardiologist and Professor of Medicine, Mayo Clinic College of Medicine. Co-Director of Artificial Intelligence in Cardiology at Mayo Clinic. Chair of Division of Preventive Cardiology
"Spectrum Bias in Algorithms Derived by Artificial Intelligence"
Leo Anthony Celi MD MPH MSc
Pulmonary and Critical Care Physician, Beth Israel Deaconess Medical Center. Principal Research Scientist, Massachusetts Institute of Technology. Clinical Research Director, Lab of Computational Physiology. Associate Professor of Medicine, Harvard Medical School
"AI for Healthcare is not Ready for Deployment"
"Algorithms at the bedsides and the dangerous business of patenting and selling algorithms in healthcare."
Robyn Whittaker MD PhD
Public Health Physician, Clinical Director of Waitemata's Institute for Innovation and Improvement. Associate Professor at the National Institute for Health Innovation, University of Auckland, New Zealand. Member of WHO DHTAG
"Ethics of AI in Healthcare"
Jim Basilakis MD, PhD
Senior Lecturer of Health Informatics at the School of Computing, Engineering and Mathematics at Western Sydney University. PhD in Machine Learning, cryptography and healthcare cybersecurity.
"Privacy Enhancing Technologies and Homomorphic Encryption"
Enrico Coiera MD PhD FACMI
Foundation Professor of Medical Informatics and Director of the Centre of Health Informatics, Macquarie University.
"AI Roadmap for healthcare in Australia"
"Do no harm meets move fast and break things. Ethical and security considerations for AI adoption in healthcare"
Johan Verjans MD, PhD
Cardiologist, Royal Adelaide Hospital, Deputy Medical Director, Australian Institute for Machine Learning
"AI in Medical Imaging"
Laith Al-Zubaidi PhD
Post-Doctoral Research Fellow in Machine Learning for Biomedical Technologies at the School of Mechanical, Medical and Process Engineering, Queensland University of Technology.
"Deep Learning for Medical Imaging Applications"
Sandeep Reddy MD PhD
Associate Professor in Health Service Management, Medical Informatics, Public Health and Medicine, Deakin University
"Comprehensive AI Evaluation Framework Applied to COVID-Related AI Studies"
George Margelis MD
Adjunct Associate Professor, TeleHealth Research & Innovation Laboratory, Western Sydney University. Independent Chair, Aged Care Industry Information Technology Council.
"AI and Digital Health In The Community"
Paul Middleton MD PhD
Professor of Emergency Medicine, Liverpool Hospital. Director of the South Western Emergency Research Institute, Ingham Institute for Applied Medical Research.
"The Virtual Twin – The South Western Sydney Local Health District experience"
MIS Data Competition Winners
Daniel Liu and Feliciano Yu
"Using Gradient boosting forest models to examine the impact of adverse childhood events"
Alex Phu and Alan Lam
"Predicting bone age using deep neural networks"
"Machine learning to predict palivizumab eligibility"
Robert Tran and Jasmin Joshi
"Predicting sepsis with logistic regression model"
Day 1 conclusion
North America & Europe July 30
Australia & New Zealand July 31