ACR 2022 Imaging Informatics Summit

Solving Today’s Informatics Problems, Building Tomorrow’s Solutions


Oct. 22–23, 2022 | Grand Hyatt Washington

Dive into the new informatics technology that is driving better outcomes. This year’s hybrid event — with in-person and virtual participation choices — will bring you the tools and resources you need to cultivate solutions for your organization or practice. 

Agenda: At a Glance

Friday, Oct. 21 | Pre-Event Vendor Reception with the Quality & Safety Conference
Saturday, Oct. 22 | Day 1
Sunday, Oct. 23 | Day 2

Friday, Oct. 21 | Pre-Event Vendor Reception

5:30–7pm | Reception

Please join us for a pre-event vendor reception with the Quality and Safety Conference.

Saturday, Oct. 22 | Day 1

8:45–9am | Welcome

9–10am | Keynote: Disrupting Traditional Healthcare Models with Distributed Networks

Telehealth, AI, top of license practice, and point of care diagnostics are changing the way we practice today. What are the broad implications of this trend? As the supply of data increases, demand for “data processing” will be met by both cognitive specialists and automation/AI. We can expect logistics and supply chain innovations to increasingly “meet patients where they are” outside the hospital, with POC diagnostics and professional practice models. Our regulations will have to adapt, allowing a “top of license” care model at each step. You’ll hear how the contemporary radiology practice model is changing and consider what areas outside of radiology suggest lies ahead for us.

Keynote Speaker:
  • Daniel J. Durand, MD | Chief Clinical Officer and Chairman of Radiology at LifeBridge Health

10–11am | The Next Generation of Rad-Path, Facilitated by AI

Through the analysis of radiology and pathology data, AI is being used to suggest increasingly precise diagnoses, guide treatment decisions, and streamline care. This panel will discuss machine learning and deep learning approaches for extracting and organizing discriminative signals from multi-modality imaging and clinical data for phenotype discovery, decision support and clinical quality improvement.

Moderator:

  • Corey Arnold, PhD, Professor, UCLA Departments of Radiology, Pathology, Electrical & Computer Engineering, and Bioengineering

Speakers:

  • Stephanie Harmon, PhD, Staff Scientist, Molecular Imaging Branch, National Cancer Institute, NIH
  • Saeed Hassanpour, PhD, Associate Professor of Biomedical Data Science, Computer Science, and Epidemiology, Dartmouth College
  • Ross W. Filice, MD Associate Professor and Chief of Imaging Informatics in the Department of Radiology at MedStar Georgetown University Hospital

11–11:10am | Break

11:10–11:45am | Speed Networking

A structured and fast-paced networking event to allow participants to interact with peers and make new contacts.

11:45am–12:45pm | From Idea to Product — The Stages of Building Your Great Idea 

If you're wondering how to create and deploy a new AI-powered application, this session will take you through the steps from defining the use case and value proposition, forming a team, developing and evaluating your AI model, and deploying it to users. We will be mapping out the essential steps based on the insider experience of those who have been through a successful product launch.

Moderator: 
  • Woojin Kim, MD, CMO, Equium Intelligence and Radiologist, VA Palo Alto

Speakers:
  • Jeff Chang, MD, MBA, ER/MSK Radiologist, Co-founder and CPO, Rad AI
  • Elad Wallach, CEO, Aidoc

12:45–1:45pm | Networking Lunch

2–2:30pm | Vendor Roundtables

Themed roundtables will focus on interactive engagement among attendees, faculty and vendors. Attendees will choose from several sessions, during which moderators shepherd and curate the discussions, floating between the roundtables to provide questions, engage with the roundtable speaker on the relevant topic, and guide the roundtables toward a fruitful discussion of how available tools and approaches can help ACR members at their practices.

2:30–3pm | Break

3–4pm | Staying Out of Trouble with AI

As with any clinical tool, for radiologists to properly consume AI, we must understand not just the benefits but the limitations. Algorithms, like radiologists, appear to have both deterministic and stochastic fallibilities. These patterns of errors vary across AI algorithms and are often not what a radiologist would miss. In this session, you’ll hear about the places AI is making mistakes, strategies for arming radiologists with this knowledge as you deploy AI and how to maximize feedback from radiologists as we all work towards becoming better consumers of AI.

Moderator:
  • Jason Poff, MD, Director of Innovation Deployment, Radiology Partners and Body Radiologist, Greensboro Radiology

Speakers:
  • Edward Steiner, MD, FACR, Chief and Medical Director, York/WellSpan Advanced Prostate Care Center
  • Melany B. Atkins, MD, Division Chief, Body/Cardiovascular Imaging, Fairfax Radiological Consultants, Medical Director, Fairfax MRI Center and Medical Director, Advanced Cardiac Imaging, Inova Fairfax Hospital

4–5:30pm | AI, the FDA and the ACR 

As the number of AI algorithms cleared by the FDA grows, they are working continuously to ensure that those algorithms are validated on a diverse set of data, and that there is transparency in the intended use of the algorithms. Hear from the FDA on what’s imperative for safe, effective, transparent AI, and gain a better understanding of the need for real-world monitoring. The medical imaging and informatics industry is evolving, with vendors launching new products and solutions almost daily. Hear about the key trends to watch and learn what may have the greatest impact.

Moderator:
  • Laura Coombs, PhD, Vice President, ACR Data Science Institute® and Informatics

Speaker: 
  • Gabriela Rodal, MS, Lead Reviewer at Division of Radiological Imaging Devices and Electronic Products (CDRH/FDA)
  • Keith Dreyer, DO, PhD, FACR, ACR DSI Chief Science Officer and Chief Data Science Officer and Vice President for Enterprise Medical Imaging for Partners Healthcare
  • Bibb Allen Jr., MD, FACR, ACR DSI Chief Medical Officer and Diagnostic Radiologist, Grandview Medical Center

5:30pm | Closing

5:30–6:30pm | Networking Reception



Sunday, Oct. 23 | Day 2

8–8:05am | Welcome 

8:05–9am | Keynote: Embracing an AI Enabled Future for Diagnostic Medicine

Wide disparities in access to care between high-income and low- and middle-income countries create both opportunities for AI to compound returns on investments in imaging infrastructure as well a risk of propagating bias and inequities in care. To level the playing field, the global imaging community must steward investments and work collaboratively with industry partners in ways that advantage the patients we serve. How will that “look” different across the world? We’ll venture outside the United States for this session and consider the role of the global imaging community in fueling investment for an AI-enabled future.

Keynote Speaker:

  • Geraldine McGinty, MD, MBA, FACR, Chief Strategy Officer of the Weill Cornell Medicine Physician Organization and Associate Professor of Clinical Radiology and Clinical Population Health Sciences

9–9:15am | Break

9:15–10:15am | Health Equity in AI & ML

AI has the potential to greatly improve existing technologies, sharpen personalized medicine and benefit historically underserved populations. But we won’t accomplish those things if the healthcare community does not ensure that AI tools are trustworthy, and that they don’t simply perpetuate biases that exist in the current system. Learn what’s at stake and how should we be encoding fairness principles to ensure that models benefit all patients.

Moderator:
  • Judy Wawira Gichoya, MBchB, MS, Assistant Professor — Interventional Radiology & Informatics, Department of Radiology & Imaging Sciences, Emory University

Speakers:
  • Paul Yi, PhD, Director of the University of Maryland Medical Intelligent Imaging (UM2ii) Center and Assistant Professor of Diagnostic Radiology and Nuclear Medicine
  • Veronica Rotemberg, MD, PhD, Dermatologist, Memorial Sloan Kettering Cancer Center
  • Tessa S. Cook MD, PhD, CIIP, FSIIM, Assistant Professor of Radiology at the Hospital of the University of Pennsylvania

10:15–11:15am | Ditch the Disk: Lessons from Mayo Clinic’s Image Exchange Experience

In this session, we will discuss the benefits of image exchange for patients and their families, large referral centers and other practices. We will illustrate our model with three of the largest image exchange vendors and we will assess the pros and cons of generalizing this approach for a regional or national network.

Moderator:
  • Amy Kotsenas, MD, Professor, Mayo Clinic and Speaker, American College of Radiology®

Speakers:
  • Ajay A. Madhavan, MD, Assistant Professor of Radiology, Mayo Clinic
  • Arlen Forsch, Mayo Clinic IT Section Head Clinical Depts. and Imaging Systems
  • Panelist: Kathy Laivell, Lead Analyst/Programmer, Mayo Clinic

11:15–11:45am | Brunch Break

11:45am–12:45pm | Cybersecurity

Cybercrime is on the rise, causing vast economic and operational damage in affected organizations. As fully digital enterprises, radiology practices completely depend on networked computational resources, and are at risk of becoming collateral damage or even being directly targeted. We will discuss the vulnerabilities of your medical imaging operations and focus on issues such as cyber-hygiene, preventive steps, preparedness and decisive recovery tactics after a cyberattack.

Moderator:
  • Christoph Wald, MD, PhD, MBA, FACR, Chairman, Department of Radiology, Lahey Hospital & Medical Center, Professor of Radiology, Tufts University Medical School

Speakers:
  • Po-Hao Chen, MD, MBA, Chief Imaging Informatics Officer, IT Medical Director for Enterprise Radiology, and Staff Radiologist in Musculoskeletal Imaging at Cleveland Clinic
  • Christopher J. Roth, MD, MMCI, Vice Chair of Radiology, Clinical Informatics and Information Technology, Duke University; Director of Imaging Informatics Strategy, Duke Health; Associate Professor of Radiology

12:45-1:45pm | Solving the Messiest Enterprise Imaging Informatics Problems

Many systems evolving toward enterprise imaging start with the low-hanging fruit. As the initiatives and enterprises mature toward HIMSS DIAM Stage 7, often systems face more political, technically challenging and clinically risky issues that are more challenging. This session will provide tips toward addressing the more difficult issues from leaders in the field who have solved them. We’ll share how to best make your case for additional Enterprise Imaging resources using ROI and success metrics, and cover how to integrate EI priorities with strategic institutional initiatives and build a consensus around a strategic roadmap.


Moderator:
  • Christopher J. Roth, MD, MMCI, Vice Chair of Radiology, Clinical Informatics and Information Technology, Duke University; Director of Imaging Informatics Strategy, Duke Health; Associate Professor of Radiology

Speakers:
  • Alex Tobin, MD, Radiologist, the Neil D. Johnson Chair of Radiology Informatics, and Associate Chief of Radiology, Clinical Operations and Radiology Informatics, Cincinnati Children's Hospital
  • Summer Kaplan, MD, Pediatric Radiologist, Department of Radiology, Children's Hospital of Philadelphia

1:45-2:45pm | Building Your Data Science Team: PACS Admin to AI Scientists

Building a Data Science team is no small task — the expertise is scarce and, as a result, the positions are challenging to fill. When sourcing talent externally, finding people who have put models into production is not easy. Or if you’re part of a large organization with an internal data science function, your challenge might be availability as a result of competing project demands for this skill set. Either way, you’ll need to make a strong case for the skills you need to source the right people on your team. In this session we’ll walk you through building the team you need to be successful.

Moderator:
  • Mike Tilkin, ACR Executive Vice President and Chief Information Officer

Speakers:
  • Jayashree Kalpathy-Cramer, PhD, Associate Professor of Radiology, Harvard Medical School
  • David Hirschorn, MD, Chief of Informatics, Imaging Service Line, Northwell Health
  • Candelaria Mosquera, MS, AI Engineer and Project Leader. AI in Health Program, Health Informatics Department, Hospital Italiano de Buenos Aires
  • Martina Aineseder, MD, Head of AI for Radiology, AI in Health Program, Hospital Italiano de Buenos Aires


Attend and earn 7.5 CME credits!*

Register »
CME
*7.5 CME Credit
Accreditation Statement:
The American College of Radiology® is accredited by the Accreditation Council from Continuing Medical Education (ACCME) to provide continuing medical education for physicians.

Credit Designation Statement:
The American College of Radiology designates this live activity for a maximum of 7.5 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].