Discover Strategies for Effectively Deploying and Monitoring AI in Your Practice

12 PM: Welcome

12:05–1 PM: Keynote on Solving AI’s Hammer and Nail Problem 

Speaker: Jana Eggers, CEO of Nara Logics; Innovation & AI Expert

Maslow taught us when we have a hammer, we are biased towards treating everything as a nail. AI has become that kind of universal tool-set, and as practitioners and soon-to-be practitioners you must focus on identifying the best "nails" for the chosen tool. This keynote will provide both best practices and largest pitfalls to avoid, to help you identify the right problems for the current AI tool-set and your organization. Jana will walk you through what it takes to get started and deliver results faster.

1–2 PM What Are We Talking About When We Talk About AI?

Misconceptions abound on what AI is — and what it is not. This session will take you through the landscape of where we are today, describing what radiologists can really expect from workflow-based AI and shedding light on AI applications with promise for the future

Kickoff Speaker and Moderator: Tessa S. Cook, MD, PhD, FSIIM, Assistant Professor of Radiology at the Hospital of the University of Pennsylvania

Speakers:

• Woojin Kim, MD, MSK Radiologist, VA Palo Alto
• Katherine Andriole, PhD, Associate Professor of Radiology at Harvard Medical School, Brigham and Women’s Hospital and Director of Research Strategy and Operations at the MGH & BWH Center for Clinical Data Science
• Paras Lakhani, MD, Associate Professor Radiology at Thomas Jefferson University Hospitals
• Judy Wawira, MD, MS, Assistant Professor of Interventional Radiology and Informatics at Emory University

2–2:10 PM: Break

2:10–2:50 PM: Industry Discussion on Challenges in Creating AI

Key figures in industry want to share recent advances in the AI space. Don’t miss this opportunity to hear the latest developments.

Moderator: Woojin Kim, MD

Speakers: 

• Morris Panner, CEO, Ambra
• Jörg Vandenhirtz, Senior AI Expert Life Sciences, COGNEX
• Wiro J. Niessen, Chief Scientific Officer, Quantib

2:50–3 PM: Break

3–3:50 PM: Current State of Data Sharing in Practice: Diverse Perspectives

Data sharing for AI in the health care industry is complex. Hear about the issues that will impact you most and learn what to include and what to avoid to make your project successful.

Kickoff Speaker and Moderator: Juan C. Batlle, MD, MBA, Chief of Thoracic Imaging, Baptist Health, Chief of Radiology, Doctors Hospital, Associate Professor, FIU College of Medicine, Team Radiologist, Miami Dolphins

Speakers:

• Ross Filice, MD, Associate Professor, Chief of Imaging Informatics, Department of Radiology MedStar Georgetown University Hospital and Chief of Imaging Informatics, MedStar Medical Group Radiology
• Brian Baker, B.S., Director Software Engineering – AI at vRad
• Andrea Borondy Kitts, MS, MPH, Patient Advocate
• Thomas Hoffman, Esq., ACR Vice President, Legal

3:50–4 PM: Break

4–4:55 PM: There's More to Informatics than AI?

The ACR Informatics Commission has key oversight and development roles in several national radiology initiatives. This session will serve as an initiative status update, act as an opportunity for attendee feedback into those initiatives, and outline the relationship between the initiative and the ACR DSI and data science broadly.

Kickoff Speaker and 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:

• Tarik Alkasab, MD, PhD: Service Chief, Informatics/IT and Operations Officer, Director of Operations and IT, Emergency Radiology, Department of Radiology, Massachusetts General Hospital, Harvard Medical School 
• Michael Muelly, MD, Clinical Radiologist, Stanford Healthcare and Chief Technology Officer, imvaria inc.
• Sharyn Katz, MD, Assistant Professor of Radiology at the Hospital of the University of Pennsylvania
• Christoph Wald, MD, PhD, MBA, FACR, Dept. of Radiology at Lahey Hospital & Medical Center, Professor of Radiology, Tufts University Medical School

4:55–5 PM: Wrap up and Preview of Day 2

5–6 PM: Virtual Networking Event

12 PM: Welcome 

12:05–12:50 PM: Tackling the Economics of Artificial Intelligence

Speaker: Gregory Nicola, MD, FACR, Chair ACR Commission on Economics and Vice President of the Hackensack Radiology Group

To move AI algorithms into routine clinical practice, we’ll need fair compensation for their development and use. Unfortunately payment for reimbursing the use of AI in healthcare is complicated on many levels. Hear an update on the federal regulatory and payment policy issues around the radiological sciences and AI and learn what the future may hold.

12:50–1 PM: Break

1–1:50 PM: Regulatory Issues Related to AI

Regulators take many factors into account to ensure medical devices are safe and effective before clearing new AI healthcare tools — to ensure AI gets things right. Hear an update on pending legislation and learn about the factors most important to the regulatory process today.

Kickoff Speaker and Moderator: Bibb Allen Jr., MD, FACR, ACR DSI Chief Medical Officer and Diagnostic Radiologist, Grandview Medical Center, Birmingham, AL

Speaker:

• Alex J. Cadotte, Ph.D., Team Lead, Imaging Software, Division of Radiological Health, U.S. Food and Drug Administration

1:50–2 PM: Break

2–3 PM: ACR AI-LAB™ in Action

The multi-site federated learning approach to medical imaging AI algorithm training can protect patient privacy and produce effective algorithms. Hear firsthand how AI-LAB successfully transferred algorithms developed at one institution to others for further training and found that the resulting algorithms performed better—while keeping data securely onsite at the original institution.

Kickoff Speaker and Moderator: Keith Dreyer, DO, PhD, FACR

Speakers:

• Judy Wawira, MD, MS, Assistant Professor of Interventional Radiology and Informatics at Emory University
• Christoph Wald, MD, Dept. of Radiology at Lahey Hospital & Medical Center, Professor of Radiology, Tufts University Medical School
• Ali Ardestani, MD, MSc, CIIP, Interventional Radiology Fellow at Lahey Hospital and Medical Center and Adam Medina, Radiology Systems Administrator, Lahey Hospital and Medical Center
• Laura Coombs, PhD, Vice President, ACR Data Science Institute and Informatics
  
• Chris Treml, Director of Operations, ACR Data Science Institute
• Jayashree Kalpathy-Cramer, PhD, Associate Professor of Radiology, Harvard Medical School

3–3:10 PM: Break

3:10–4 PM: Industry Discussion on Challenges in Developing AI

Key figures in industry want to share recent advances in the AI space. Don’t miss this opportunity to hear the latest developments.

Moderator: Sheela Agarwal, MD

Speakers: 

• Elad Walach, CEO, Aidoc
• Sasank Chilamkurthy, CEO, Qure.ai
• Ben Panter, CEO, Blackford
• Jacques Gilbert, Senior Director of Diagnostics Strategy and Business Development, Nuance

4–4:55 PM: You’ve Purchased an AI Model. Now What?

Leading-edge radiology practitioners using AI in workflow today will share insights on how AI behaves and how to handle ongoing performance assessment. Very few departments have deployed more than a few algorithms in the clinical environment — this is an opportunity to learn from those with hands-on experience.

Kickoff Speaker and Moderator: Christoph Wald, MD, PhD, MBA, FACR, Dept. of Radiology at Lahey Hospital & Medical Center, Professor of Radiology, Tufts University Medical School

Speakers:

• Arun Krishnaraj, MD, MPH, Vice Chair for Quality and Safety, Director of the Division of Body Imaging, Chief of Abdominal Imaging, Director of Body Procedures, University of Virginia
• Cree M. Gaskin, MD, FACR, Professor, Vice Chair – Clinical Operations and Informatics, Division Chief – Musculoskeletal Imaging and Intervention, Associate Chief Medical Information Officer, University of Virginia
• Nina Kottler, MD, MS, VP Clinical Operations, Radiology Partners
• Jayashree Kalpathy-Cramer, PhD, Associate Professor of Radiology, Harvard Medical School
  

4:55–5:10 PM: Closing Remarks

*The American College of Radiology is accredited by the Accreditation Council for 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 8 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

This activity meets the ABR’s criteria for a self-assessment activity in the ABR’s Maintenance of Certification program.

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

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