Goal
To provide experts and the community the opportunity to share their perspectives on current issues associated with incorporation of MI systems into healthcare settings. Meeting outputs will be used to develop a whitepaper on translating MI for clinical applications and the associated process improvement needed when implementing MI systems in healthcare environments.
Agenda (to download Speaker Bios and Presentations please click the underlined links below)
| 8:00 AM: | REGISTRATION |
|---|---|
| 8:30 AM: | WELCOME AND WORKSHOP OVERVIEW |
| Joni Rutter, PhD, Deputy Director, National Center for Advancing Translational Sciences, National Institutes of Health | |
| Bruce J. Tromberg, PhD, Director, National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health | |
| 8:45 AM: | SESSION 1: TRUSTWORTHINESS |
| 8:45 AM: | Introduction to Session |
| 8:50 AM: | Trustworthiness of Patient Generated Health Data Session Chair: Luca Foschini, PhD, Co-founder and Chief Data Scientist, Evidation Health |
| 9:00 AM: | How Can We Trust Intelligence (Human or Machine) for Guiding Healthcare Decisions? Brian Alper, MD, MSPH, FAAFP, Founder of DynaMed and Vice President of Innovations and Evidence-Based Medicine Development for EBSCO Health |
| 9:10 AM: | An Evaluation of Machine Intelligence Tools to Diagnose Genetic Diseases in Critically Ill Infants Michelle Clark, PhD, Statistical Scientist, Rady Children’s Insitute for Genomic Medicine |
| 9:20 AM: | How to Trust, but Verify, in Healthcare Nigam Shah, MBBS, PhD, Associate Professor of Medicine (Biomedical Informatics) and of Biomedical Data Science, Stanford University |
| 9:30 AM: | Panel Discussion |
| 10:15 AM: | BREAK |
| 10:30 AM: | SESSION 2: EXPLAINABILITY |
| 10:30 AM: | Introduction to Session |
| 10:35 AM: | A Roadmap for AI in Healthcare Session Chair: Shinjini Kundu, MD, PhD, Medical Researcher and Resident Physician, Department of Radiology at The Johns Hopkins Hospital |
| 10:45 AM: | Approaches for Explainability of AI-enabled Systems in Medical Imaging Berkman Sahiner, PhD, Senior Biomedical Research Scientist at the US Food and Drug Administration (FDA) |
| 10:55 AM: | Explainability and Understanding for Deep Learning Models Sanji Fernando, Senior Vice President of Artificial Intelligence and Analytics Platforms, OptumHealth |
| 11:05 AM: | The Importance of Algorithmic Explainability in Behavioral Health Colin Walsh, MD, MA, Assistant Professor of Biomedical Informatics, Medicine and Psychiatry, Vanderbilt University Medical Center |
| 11:15 AM: | Panel Discussion |
| 12:00 PM: | LUNCH |
| 1:15 PM: | SESSION 3: USABILITY |
| 1:15 PM: | Introduction to Session |
| 1:20 PM: |
Moving AI to the Point of Care Session Chair: Kenneth Mandl, MD, MPH, Donald A.B. Lindberg Professor of Pediatrics and Biomedical Informatics, Harvard Medical School |
| 1:30 PM: | Usability Lessons Applicable to MI Chris Dymek, EdD, Director, Division of Health Information Technology, Agency for Healthcare Research and Quality |
| 1:40 PM: | Deep Care Management at Duke, Lessons in Using MI in a Medicare Population Erich Senin Huang, MD, PhD, Assistant Professor in Biostatistics and Bioinformatics, Duke University |
| 1:50 PM: | Zero-Overhead Contactless Sensors for Health Monitoring Dina Katabi, PhD, Andrew and Ema Viterbi Professor of Electrical Engineering and Computer Science, Massachusetts Institute of Technology |
| 2:00 PM: | Panel Discussion |
| 2:45 PM: | BREAK |
| 3:00 PM: | SESSION 4: TRANSPARENCY AND FAIRNESS |
| 3:00 PM: | Introduction to Session |
| 3:05 PM: | Machine Intelligence in Healthcare – Precision Medicine Analytics Platform Sezin Palmer, Mission Area Executive for National Health, Johns Hopkins University Applied Physics Laboratory |
| 3:15 PM: | Learning Healthy Models for Healthcare - What Transparency is Needed to Deploy Models in Healthcare? Marzyeh Ghassemi, PhD, Assistant Professor of Computer Science and Medicine, University of Toronto |
| 3:25 PM: | Vulnerabilities in Machine Learning S. Matthew Liao, AB, Dphil, Director of the Center for Bioethics, College of Global Public Health, New York University |
| 3:35 PM: | Thinking About Transparency and Fairness at Scale: The Workforce, Providers and Suppliers Session Chair: Maxine Mackintosh, Researcher, Alan Turing Institute and Co-Founder, One HealthTech |
| 3:45 PM: | Panel Discussion |
| 4:30 PM: | WRAP-UP AND CONCLUSIONS |
| Session 1 – Session Chair Luca Foschini Session 2 – Session Chair Shinjini Kundu Session 3 – Session Chair Kenneth Mandl Session 4 – Session Chair Maxine Mackintosh |
|
| 5:00 PM: | ADJOURN |