Medical Intelligence Society
Virtual Summit 2023
MIS 2022
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.
Day 1
North America & Europe July 29
Australia & New Zealand July 30
PDT 13:00
CEST 22:00
AEST 06:00
NZST 08:00
Opening Session
20 mins
Opening Remarks
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
PDT 13:20
CEST 22:20
AEST 06:20
NZST 08:20
Session 1
90 mins
Curtis Langlotz MD PhD
Professor of Radiology and Biomedical Informatics. Director, Centre for Artificial Intelligence in Medicine and Imaging, Stanford.
Keynote address
"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"
Panel Discussion
"Algorithms at the bedsides and the dangerous business of patenting and selling algorithms in healthcare."
PDT 14:50
CEST 23:50
AEST 07:50
NZST 09:50
Break
10 mins
PDT 15:00
CEST 00:00
AEST 08:00
NZST 09:00
Session 2
100 mins
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
Keynote address
"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.
Keynote address
"AI Roadmap for healthcare in Australia"
Panel Discussion
"Do no harm meets move fast and break things. Ethical and security considerations for AI adoption in healthcare"
PDT 16:40
CEST 01:40
AEST 09:40
NZST 11:40
Break
10 mins
PDT 16:50
CEST 01:50
AEST 09:50
NZST 11:50
Session 3
60 mins
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"
PDT 17:50
CEST 02:50
AEST 10:50
NZST 12:50
Break
10 mins
PDT 18:00
CEST 03:00
AEST 11:00
NZST 13:00
Session 4
60 mins
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"
PDT 18:40
CEST 03:40
AEST 11:40
NZST 13:40
MIS Data Competition Winners
First Prize
Daniel Liu and Feliciano Yu
"Using Gradient boosting forest models to examine the impact of adverse childhood events"
Second Prize
Alex Phu and Alan Lam
"Predicting bone age using deep neural networks"
Third Prize
Dave Leone
"Machine learning to predict palivizumab eligibility"
Fourth Prize
Robert Tran and Jasmin Joshi
"Predicting sepsis with logistic regression model"
PDT 18:55
CEST 03:55
AEST 11:55
NZST 13:55
Day 1 conclusion
Day 2
North America & Europe July 30
Australia & New Zealand July 31
PDT 13:00
CEST 22:00
AEST 06:00
NZST 08:00
Session 1
60 mins
Adam Amara PhD
Computational Biologist, Section of Nutrition and Metabolism, International Agency for Research on Cancer, World Health Organisation
"Graph Databases In Cancer Prevention, Diagnosis, And Personalised Medicine"
Feliciano “Pele” Yu, Jr., MD, MSHI, MSPH, FAAP, FAMIA
Professor of Pediatrics, Biomedical Informatics and Public health, University of Arkansas for Medical Sciences.
VP/Chief Medical Information Officer, Arkansas Children's Hospital
"Algorithms in Real World Scenarios, Experience With EHR Vendor-derived Machine Learning Models"
James Otton MD PhD
Associate Professor of Cardiology, advanced cardiac imaging specialist, Liverpool and St Vincent Hospitals, Sydney. Masters of Biomedical Engineering. Research faculty, Victor Chang Cardiac Research Institute.
"How to teach an AI when you don't know much!"
PDT 14:00
CEST 23:00
AEST 07:00
NZST 09:00
Break
10 mins
PDT 14:10
CEST 23:10
AEST 07:10
NZST 09:10
Session 2
60 mins
Martin Than MD
Director of Emergency Medicine Research, Christchurch Hospital, New Zealand.
"AI to predict heart attacks in the Emergency Department"
Hamilton Baker MD
Associate Prof of Pediatrics and Public Health, MUSC, Division of Pediatric Cardiology & Biomedical Informatics Center. Founder & Lead, Clemson-MUSC AI Hub
"AI in Pediatrics"
Bob Hoyt MD FACP FAMIA
Associate Clinical Professor, Department of Medicine at Virginia Commonwealth University School of Medicine.
Author and editor of Health Informatics: Practical Guide, Introduction to Biomedical Data Science, and Data Preparation and Exploration: Applied to Healthcare Data
​
"Data Science for Clinicians"
PDT 15:10
CEST 00:10
AEST 08:10
NZST 10:10
Break
10 mins
PDT 14:10
CEST 23:10
AEST 07:10
NZST 09:10
Session 3
60 mins
Jihad Obeid MD FAMIA
Pediatrician, Professor, Department of Public Health Sciences, Psychiatry and Behavioural Medicine at the Medical University of South Carolina. Co-Director of the Biomedical Informatics Centre at MUSC
Keynote address
"The AI consult"
Srikanth Mahankali MD
Diagnostic Radiologist; Faculty Alumnus (Magnetic Resonance Imaging), Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer, Houston, Texas (USA)
"AI and Global Health"
Pediatric Cardiologist, Chief Intelligence and Innovation Officer, Children's Health of Orange County.
Editor-in-chief, Intelligence Based Medicine Journal
Founder, AIMED, MI3, MI10
Dean, American Board of AI in Medicine
Leader, Orange County chapter of Society of Physician Entrepreneurs (SoPE)
President, Medical Intelligence Society
"AI and Physician Entrepreneurship"
Panel Discussion
"Innovation and Impact: Role of the Physician Entrepreneur"
Featuring
Amandeep Hansra MD FRACGP FACHI ACCAM MPH&TM Global EMBA GAICD CHIA
Specialist General Practitioner. Clinical lead, Australian Digital Health Agency. Chief Medical Officer, Telstra Health. Founder, Creative Careers in Medicine. Digital Health consultant.
PIYUSH MATHUR MD FCCM
Staff Anesthesiologist and Critical Care physician, Cleveland Clinic. Founder, BrainX and BrainX community. Cofounder, Medical Intelligence Society.
PDT 16:50
CEST 01:50
AEST 09:50
NZST 11:50
Closing Remarks