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2019 Data Science Summit

Data Access in Healthcare – Implications for the Artificial Intelligence Ecosystem
June 25, 2019 | 10:00 AM – 5:00 PM
In Conjunction with the SIIM 2019 Annual Meeting


What to Expect?

Data access and liquidity in health information systems continue to create challenges for AI development. To better understand the technical and ethical issues confronting both institutions and AI developers in the US and internationally, join us to learn up to date information and hear about potential solutions.

2019 Data Science Summit: Data Access in Healthcare – Implications for the AI Ecosystem

  • The current state of data access and liquidity in the US and abroad
  • The ethical issues regarding data ownership, privacy, sharing, bias and stewardship
  • The democratization of AI using tools built for practicing radiologists to facilitate distributed AI development, data sharing and model validation while keeping patient data on premises. Any institution will be able to
    • Contribute to AI development by annotating local cases for AI development
    • Participate in independent testing and validation of AI algorithms
    • Institute safeguards to protect developers' intellectual property
    • Create AI solutions to meet local institution needs
    • More

The Summit brings together thought leaders and attendees for a robust discussion and evaluation of where we are today and what you can expect in the future. Whether you are a developer, looking for insights from radiology leaders, or a radiologist with an informatics background seeking best practices, the Summit can help you understand how data access and liquidity will impact you in the coming year, and provide strategies for data sharing to overcome potential barriers to AI development.


In Depth Discussion Includes:

  • Full-day focused content
    • Brief keynote presentations
    • In depth panel discussions
  • Conversations with faculty and experts
  • Opportunity to forge long-term relationships with peers

Who Should Attend

Those who should attend the Summit include:

  • Industry partners and developers interested in pursuing data sharing arrangements
  • Clinical informaticists and fellows, residents, enterprise IT, clinical applications professionals, technologists, and all those who want to learn more about AI data sharing, the ethics of AI and the democratization of AI in health care


Upon completion of the Summit on Data Access in Healthcare, the participant will be able to:

  • Outline the current state of data liquidity in health information systems define the challenges for access to data for AI development
  • Understand the ethical issues regarding data ownership, privacy, sharing, bias and stewardship
  • Describe how to manage issues related to conflicts of interest
  • Outline the varying international standards for data access and sharing
  • Define the opportunities and challenges for AI democratization using cross-site learning tools for distributed computing and on-premises data for algorithm training


Welcome and Overview

10:00 AM – 10:10 AM

  • Welcome (Bibb Allen Jr., MD, FACR)
  • Introduction (Keith Dreyer, DO, PhD, FACR, FSIIM)

Data Liquidity and Data Access: Setting the Stage

10:10 AM – 10:35 AM

The AI Ecosystem Meets HIPAA (Moderator – Amy Kotsenas, MD)
10:35 AM – 12:00 PM

Panel Discussion (30 minutes):

ACR Data Science Institute Overview and Updates: Democratizing AI
12:00 PM – 12:30 PM

Lunch and Special Announcement on Breast Density Challenge for Residents
12:30 PM – 1:30 PM

A Look to the Future: Distributed Learning for AI Model Development: Training, Testing and Validation (Moderator – Keith Dreyer, DO, PhD, FACR, FSIIM)
1:30 PM – 3:15 PM 

Panel Discussion: (40 minutes)

Break and Networking
3:15 PM – 3:30 PM

Ethics of AI in Healthcare: Aspirational Goals for Data Sharing, Algorithm Development and Radiological Practice (Moderator  – Sheela Agarwal, MD)
3:30 PM – 5:00 PM

Panel Discussion: (40 minutes)

Summit Faculty

Bibb Allen

Bibb Allen Jr., MD, FACR

ACR DSI Chief Medical Officer | Diagnostic Radiologist, Grandview Medical Center

Keith Dreyer

Keith J. Dreyer, DO, PhD, FACR

ACR DSI Chief Science Officer | Chief Data Science Officer and Vice President for Enterprise Medical Imaging for Partners Healthcare

Amy Kotsenas, MD

ACR DSI Council Steering Committee Liaison | Associate Professor of Radiology at Mayo Clinic, Rochester
Raym Geis

J. Raymond Geis, MD, FACR

ACR DSI Senior Scientist | Adjunct Associate Professor of Radiology, National Jewish Health, Denver

Andrea Borondy Kitts, MS, MPH

Patient Outreach & Research Specialist, Lahey Hospital & Medical Center

Tessa S. Cook, MD, PhD

Assistant Professor of Radiology at the Hospital of the University of Pennsylvania
Laura Coombs

Laura Coombs, PhD

ACR DSI Vice President Data Science and Informatics 


Jayashree Kalpathy-Cramer, PhD

Associate Professor of Radiology, Harvard Medical School
Nina Kottler

Nina Kottler, MD

VP Clinical of Operations, Radiology Partners

Steve G. Langer, PhD

Co-director, Radiology Informatics Laboratory, Mayo Clinic Radiology

Etta Pisano, MD

ACR Chief Science Officer | Professor in Residence of Radiology at Harvard Medical School


Erik R. Ranschaert, MD, PhD

Radiologist, ETZ Hospital, the Netherlands and President of the European Society of Medical Imaging Informatics

Mike Tilkin

ACR Executive Vice President and Chief Information Officer
Chris Treml

Chris Treml

ACR DSI Director of Operations

Data Access in Healthcare – Implications for the Artificial Intelligence Ecosystem, June 25, 2019 | 10:00 AM – 5:00 PM
In Conjunction with the SIIM 2019 Annual Meeting