Explore a New Approach to AI Implementation in Health Care

2019 Imaging Informatics Summit
October 5 – 6, 2019 | Washington, D.C.

Day 1 | Saturday, October 5

KEYNOTE: Challenges and Opportunities in Machine Reading of Radiology Exams
9:00 - 10:00 AM

Machine learning methods are enabling computers to interpret unstructured document content and perform real-world tasks. Our keynote will highlight the latest trends in deep learning models that utilize imaging, free text and structured data to advance early diagnosis, treatment and disease prevention.

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      Keynote Speaker: 
Regina Barzilay, PhD
Professor, Department of Electrical Engineering and Computer Science and Member, Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology (MIT)

SESSION 1: Current State of AI in Practice: Diverse Perspectives and Panel Discussion
10:00 - 11:00 AM

Artificial intelligence in the health care industry is gaining traction. Hear from those with experience using AI in clinical care and hospital operations about the issues that will impact you most.

  • Insight from the perspective of the radiologist, informatics/IT department, business leader and patient
  • How to begin using AI
  • Looking for increased efficiency in operations and incorporating AI into workflows


Moderator:
 
Amy Kotsenas, MD
ACR Council Vice Speaker and DSI/CSC Liaison, Associate Professor of Radiology at Mayo Clinic, Rochester

Presenters:

  • Melissa A. Davis, MD, MBA, Section Chief, Emergency Radiology, Yale University View Presentation
  • Daniel Blezek, PhD, Associate Consultant, Department of Radiology, Mayo Clinic View Presentation
  • David Andrews, Patient Advocate View Presentation
  • Christoph Wald, MD, PhD, MBA, FACR, Chairman, Department of Radiology, Lahey Hospital & Medical Center and Professor of Radiology, Tufts University Medical School View Presentation 

SESSION 2: ACR AI-LAB™ Concepts and Demonstration
11:30 AM - 1:00 PM

To accelerate the development and adoption of artificial intelligence (AI) in clinical practice, radiologists need to be empowered to create AI tools at their own U.S. institutions, to meet their own patient needs. Find out how new features in the ACR AI-LAB™ offer radiologists tools to participate directly in the creation, validation and use of health care AI.

Presenters:

  • Keith J. Dreyer, DO, PhD, FACR, ACR DSI Chief Science Officer and Chief Data Science Officer and Vice President for Enterprise Medical Imaging for Partners Healthcare View Presentation
  • Bibb Allen Jr., MD, FACR, ACR DSI Chief Medical Officer and Diagnostic Radiologist, Grandview Medical Center View Presentation

BUFFET LUNCH AND NETWORKING
1:00 - 2:00 PM

SESSION 3: How Enterprise Imaging Intersects Enterprise AI Development
2:00 - 3:30 PM

Governing enterprise imaging well can free up the mandatory, optional and conditional metadata that would inform or hamper AI development at your organization. With decades of experience capturing, indexing, and describing imaging findings, radiologists can be at the forefront not only of delivering quality imaging care, but also sharing best practices in making high quality data available for secondary use. This session will outline those best practices.

Moderator:
Christopher J. Roth, M.D.
MMCI, Associate Professor of Radiology, Vice Chair, Information Technology and Clinical Informatics and Director of Imaging Informatics Strategy, Duke Health View Presentation

Presenters:

  • Jonathan Shoemaker, Administrative Director, Imaging Systems & Services, Stanford Health Care View Presentation
  • Tarik K. Alkasab, MD, PhD, IT/Informatics and Operations Officer, Director of Operations and IT, Emergency Radiology, Department of Radiology, Massachusetts General Hospital, Harvard Medical School View Presentation
  • Kim Garriott, Principal Consultant-Healthcare Strategies, Logicalis U.S. View Presentation

SESSION 4: Update on Regulatory and Reimbursement Challenges with AI
4:00 - 5:30 PM

Regulators must take many factors into account to ensure medical devices are safe and effective before making new AI tools available for patient care. Learn about the factors most important to the regulatory process and get an update on pending legislation.

  • Evaluating artificial intelligence devices at the FDA and related collaborations and initiatives
  • Update on proposed and pending legislation


Moderator:

Bibb Allen Jr., MD, FACR View Presentation
ACR DSI Chief Medical Officer and Diagnostic Radiologist, Grandview Medical Center

Presenter: 

  • Brandon Gallas, PhD, Research Physicist and Mathematician, Division of Imaging, Diagnostics, and Software Reliability, FDA View Presentation
  • Jennifer Segui, Lead Medical Device Reviewer, Division of Radiological Health, FDA View Presentation

Networking Reception
5:30 - 6:30 PM


NEW for 2019! ACR AI-LAB™ Demo

Try out the ACR AI-LAB™ software platform at a special demonstration lab available only at the 2019 Imaging Informatics Summit. You’ll have the chance to roll up your sleeves, adjust the settings and see how to modify AI without coding.

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   The ACR AI-LAB™ enables you to:
  • Explore the use of AI in your practice
  • Collaborate and contribute to the development of AI models for diagnostic imaging
  • Create AI models tailored to your local patient population

Day 2 | Sunday, October 6

SESSION 5: Data Access, Privacy and Security
8:00 - 10:00 AM

Health professionals face a variety of challenges in maintaining both data integrity and patient privacy in order to use AI to improve the business intelligence, clinical decision support, patient management, and patient outcomes for a health system. Exploring these data-related issues in advance will prepare you for future opportunities with AI.

Moderator:
J. Raymond Geis, MD, FACR, FSIIM View Presentation
ACR DSI Senior Scientist and Adjunct Associate Professor of Radiology, National Jewish Health, Denver

Presenter:

  • Daniel L. Rubin, MD, MS, Professor of Biomedical Data Science, Radiology, and Medicine (Biomedical Informatics) and Director of Biomedical Informatics, Stanford Cancer Institute View Presentation
  • Juan C. Battle, MD, MBA, Chief of Thoracic Imaging, Baptist Health, Chief of Radiology, Doctors Hospital, Associate Professor, FIU College of Medicine, Team Radiologist, Miami Dolph View Presentation
  • Wende Gibbs, MD, Department of Radiology, Neuroradiology Division, Senior Associate Consultant, Mayo Clinic View Presentation View Presentation

SESSION 6: Optimizing the IT Supply Chain to Deploy AI in the Clinical Workflow
10:15 AM - 12:00 PM

Managing the IT supply chain is critical to effectively deploy AI in health care. This session will cover how radiology and enterprise IT departments can work together to bridge the divide, create consensus, and address the practical issues, challenges, and concerns surrounding AI deployment in the clinical radiology workflow.


Moderator:
Tessa S. Cook, MD, PhD View Presentation
Assistant Professor of Radiology at the Hospital of the University of Pennsylvania

Presenters:

  • Sylvia Devlin, MS, RT(R)(M)(QM), CIIP, IT Manager, Radiology Clinical Operations & eRadiology Center, Johns Hopkins Medicine View Presentation
  • Roseann Spitznagel, Manager, Information Technology Cleveland Clinic View Presentation
  • Judy Wawira, MD, MS, Assistant Professor of Interventional Radiology and Informatics at Emory University View Presentation
  • Charlene Tomaselli, MBA, Director, Medical Imaging Information Technology, Johns Hopkins Medic View Presentation

Register


*Earn 9.25 CME
Accreditation Statement:
The American College of Radiology is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.

Credit Designation Statement:
The American College of Radiology designates this activity for a maximum of 9.25 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

For information about the accreditation of this program, please contact the ACR at [email protected]

KEYNOTE SESSION: Challenges and Opportunities in Machine Reading of Radiology Exams

Machine learning methods are enabling computers to interpret unstructured document content and perform real-world tasks. Our keynote will highlight the latest trends in deep learning models that utilize imaging, free text, and structured data to advance early diagnosis, treatment, and disease prevention.

Speaker: Regina Barzilay, PhD, Professor, Department of Electrical Engineering and Computer Science and Member, Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology (MIT)

SESSION 1: Current state of AI in Practice: Diverse Perspectives and Panel Discussion

Artificial intelligence in the health care industry is gaining traction. Hear from those with experience using AI in clinical care and hospital operations about the issues that will impact you most.

  • Insight from the perspective of the radiologist, informatics/IT department, business leader and patient.
  • How to begin using AI
  • Looking for increased efficiency in operations and incorporating AI into workflows

Moderator: Amy Kotsenas, MD, ACR DSI Council Steering Committee Liaison and Associate Professor of Radiology at Mayo Clinic, Rochester

Presenters:
Melissa A. Davis, MD, MBA, Section Chief, Emergency Radiology, Yale University
Daniel Blezek, PhD, Associate Consultant, Department of Radiology, Mayo Clinic
David Andrews, Patient Advocate
Christoph Wald, MD, PhD, MBA, FACR, Chairman, Department of Radiology, Lahey Hospital & Medical Center, Professor of Radiology, Tufts University Medical School

KEYNOTE SESSION: Challenges and Opportunities in Machine Reading of Radiology Exams

Machine learning methods are enabling computers to interpret unstructured document content and perform real-world tasks. Our keynote will highlight the latest trends in deep learning models that utilize imaging, free text, and structured data to advance early diagnosis, treatment, and disease prevention.

Speaker: Regina Barzilay, PhD, Professor, Department of Electrical Engineering and Computer Science and Member, Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology (MIT)

SESSION 1: Current state of AI in Practice: Diverse Perspectives and Panel Discussion

Artificial intelligence in the health care industry is gaining traction. Hear from those with experience using AI in clinical care and hospital operations about the issues that will impact you most.

  • Insight from the perspective of the radiologist, informatics/IT department, business leader and patient.
  • How to begin using AI
  • Looking for increased efficiency in operations and incorporating AI into workflows

Moderator: Amy Kotsenas, MD, ACR DSI Council Steering Committee Liaison and Associate Professor of Radiology at Mayo Clinic, Rochester

Presenters:
Melissa A. Davis, MD, MBA, Section Chief, Emergency Radiology, Yale University
Daniel Blezek, PhD, Associate Consultant, Department of Radiology, Mayo Clinic
David Andrews, Patient Advocate
Christoph Wald, MD, PhD, MBA, FACR, Chairman, Department of Radiology, Lahey Hospital & Medical Center, Professor of Radiology, Tufts University Medical School

KEYNOTE SESSION: Challenges and Opportunities in Machine Reading of Radiology Exams

Machine learning methods are enabling computers to interpret unstructured document content and perform real-world tasks. Our keynote will highlight the latest trends in deep learning models that utilize imaging, free text, and structured data to advance early diagnosis, treatment, and disease prevention.

Speaker: Regina Barzilay, PhD, Professor, Department of Electrical Engineering and Computer Science and Member, Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology (MIT)

SESSION 1: Current state of AI in Practice: Diverse Perspectives and Panel Discussion

Artificial intelligence in the health care industry is gaining traction. Hear from those with experience using AI in clinical care and hospital operations about the issues that will impact you most.

  • Insight from the perspective of the radiologist, informatics/IT department, business leader and patient.
  • How to begin using AI
  • Looking for increased efficiency in operations and incorporating AI into workflows

Moderator: Amy Kotsenas, MD, ACR DSI Council Steering Committee Liaison and Associate Professor of Radiology at Mayo Clinic, Rochester

Presenters:
Melissa A. Davis, MD, MBA, Section Chief, Emergency Radiology, Yale University
Daniel Blezek, PhD, Associate Consultant, Department of Radiology, Mayo Clinic
David Andrews, Patient Advocate
Christoph Wald, MD, PhD, MBA, FACR, Chairman, Department of Radiology, Lahey Hospital & Medical Center, Professor of Radiology, Tufts University Medical School

KEYNOTE SESSION: Challenges and Opportunities in Machine Reading of Radiology Exams

Machine learning methods are enabling computers to interpret unstructured document content and perform real-world tasks. Our keynote will highlight the latest trends in deep learning models that utilize imaging, free text, and structured data to advance early diagnosis, treatment, and disease prevention.

Speaker: Regina Barzilay, PhD, Professor, Department of Electrical Engineering and Computer Science and Member, Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology (MIT)

SESSION 1: Current state of AI in Practice: Diverse Perspectives and Panel Discussion

Artificial intelligence in the health care industry is gaining traction. Hear from those with experience using AI in clinical care and hospital operations about the issues that will impact you most.

  • Insight from the perspective of the radiologist, informatics/IT department, business leader and patient.
  • How to begin using AI
  • Looking for increased efficiency in operations and incorporating AI into workflows

Moderator: Amy Kotsenas, MD, ACR DSI Council Steering Committee Liaison and Associate Professor of Radiology at Mayo Clinic, Rochester

Presenters:
Melissa A. Davis, MD, MBA, Section Chief, Emergency Radiology, Yale University
Daniel Blezek, PhD, Associate Consultant, Department of Radiology, Mayo Clinic
David Andrews, Patient Advocate
Christoph Wald, MD, PhD, MBA, FACR, Chairman, Department of Radiology, Lahey Hospital & Medical Center, Professor of Radiology, Tufts University Medical School

KEYNOTE SESSION: Challenges and Opportunities in Machine Reading of Radiology Exams

Machine learning methods are enabling computers to interpret unstructured document content and perform real-world tasks. Our keynote will highlight the latest trends in deep learning models that utilize imaging, free text, and structured data to advance early diagnosis, treatment, and disease prevention.

Speaker: Regina Barzilay, PhD, Professor, Department of Electrical Engineering and Computer Science and Member, Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology (MIT)

SESSION 1: Current state of AI in Practice: Diverse Perspectives and Panel Discussion

Artificial intelligence in the health care industry is gaining traction. Hear from those with experience using AI in clinical care and hospital operations about the issues that will impact you most.

  • Insight from the perspective of the radiologist, informatics/IT department, business leader and patient.
  • How to begin using AI
  • Looking for increased efficiency in operations and incorporating AI into workflows

Moderator: Amy Kotsenas, MD, ACR DSI Council Steering Committee Liaison and Associate Professor of Radiology at Mayo Clinic, Rochester

Presenters:
Melissa A. Davis, MD, MBA, Section Chief, Emergency Radiology, Yale University
Daniel Blezek, PhD, Associate Consultant, Department of Radiology, Mayo Clinic
David Andrews, Patient Advocate
Christoph Wald, MD, PhD, MBA, FACR, Chairman, Department of Radiology, Lahey Hospital & Medical Center, Professor of Radiology, Tufts University Medical School