AI in Clinical Practice: Choosing the Right Tools for Your Practice and Patients
2021 DSI Summit
Wednesday, June 16, 2021 | Virtual Meeting
Lorem ipsum dolor sit amet, consectetur
Donec placerat nisl magna, et faucibus arcu condimentum sed. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aliquam at porttitor sem. Aliquam erat volutpat.
Lorem ipsum dolor sit amet, consectetur
Donec placerat nisl magna, et faucibus arcu condimentum sed. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aliquam at porttitor sem. Aliquam erat volutpat.
Lorem ipsum dolor sit amet, consectetur
Donec placerat nisl magna, et faucibus arcu condimentum sed. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aliquam at porttitor sem. Aliquam erat volutpat.
Lorem ipsum dolor sit amet, consectetur
Donec placerat nisl magna, et faucibus arcu condimentum sed. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aliquam at porttitor sem. Aliquam erat volutpat.
Register today for the 2019 Imaging Informatics Summit and join other radiology providers, practice leaders, vendors, and policy makers as they explore strategies for implementing artificial intelligence (AI) in your practice with new, innovative solutions.
Agenda: At a Glance
Agenda
11am–Noon: Virtual Networking Event
Noon–1:35pm: Status of AI in Diagnostic Imaging
Many physicians have an incomplete understanding of medical AI’s current status. This session will review the types of models and products available, how AI is integrated into clinical workflow, and financial implications including reimbursement through CMS.Moderator: Po-Hao Chen, MD, MBA, Chief Imaging Informatics Officer for Cleveland Clinic Imaging Institute | IT Division Medical Director for Enterprise Radiology | IT Division Medical Director for Enterprise Radiology | Associate Staff in Musculoskeletal Imaging at Cleveland Clinic
Speakers:
- Judy Gichoya, MD, MS
- Tarik Alkasab, MD, PhD
- Lauren Golding, MD
- Gregory N Nicola, MD, FACR
- Keith J. Dreyer, DO, PhD, FACR, FSIIM
1:35–1:50pm: Break
1:50–3:20pm: Evaluating AI for Your Practice
This session will provide you with the tools and information needed to effectively evaluate and select the right AI tools for your practice. We will review ACR® tools, compare AI Algorithms and clinical trial design, and detail the impacts of implementing AI in Clinical Practice, including ethical, regulatory, legal, and economic perspectives.
Moderator: Christoph Wald, MD, PhD, MBA, FACR Dept. of Radiology at Lahey Hospital & Medical Center | Professor of Radiology, Tufts University Medical School | Chair, ACR Commission on Informatics
Speakers:
- Bibb Allen Jr., MD, FACR
- Sheela Agarwal, MD, MBA
- Keith J. Dreyer, DO, PhD, FACR, FSIIM
- J. Raymond Geis, MD, FACR
3:20–3:30pm: Break
3:35–5pm: Patient Centered Care: Protecting Patients
AI-based diagnostic decisions should incorporate the patient’s perspective. In this session we will outline patient perspectives on AI, explain ways to communication with patients about AI, and how to evaluate AI to ensure models are safe and effective.
Co-Moderators:- Tessa S. Cook, MD, PhD, FSIIM
- Arun Krishnaraj, MD, MPH
- Andrea Borondy Kitts MS, MPH
- Nina S. Vincoff, MD
- David B. Larson, MD, MBA
5–6pm: Virtual Networking Event
Continuing Education
Earn 3.0 CME
Physician Accreditation Statement
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 3.0 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with 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 3: 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 4: 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
Register before it's too late!
Keynote
Regina Barzilay, MD, PhD
TitleDonec placerat nisl magna, et faucibus arcu condimentum sed.Lorem ipsum dolor sit amet, Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aliquam at porttitor sem. Aliquam erat volutpat. Donec placerat nisl magna, et faucibus arcu condimentum sed. Aliquam at porttitor sem. Aliquam erat volutpat.
Sponsors
Sponsors 2
Sponsors 3
Earn 4.5 CME
Physician Accreditation Statement
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 4.5 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with their participation in the activity.
For information about the accreditation of this program, please contact the ACR at [email protected].