2024 SIIM-ACR Data Science Summit
From Data to Diagnosis With Tested, Transparent and Trustworthy AI
June 26, 2024 | National Harbor, MD
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The 2024 SIIM-ACR Data Science Summit will be held on June 26 at the Gaylord National Resort in National Harbor, Maryland.
Wednesday, June 26 | 9am - 4pm ET
9:00 am - Welcome
9:10 am - Keynote
10:10 am - Session 1: Understandable, Auditable, & Transparent AI
Trustworthy AI: Bibb Allen Jr., MD, FACR
Explainability in AI: Laura Brink, MS
Implementing AI in Clinical Practice: Bernardo Bizzo, MD
11:10 am - Brunch
12:30 pm - Session 2: Testing AI for Robustness & Reliability
Testing Throughout the AI Lifecycle: Andrew Missert, PhD
Real World Testing of AI: Tessa Cook, MD
Ensuring Reliability in Generative AI: Best Practices and Testing Strategies: Panagiotis Korfiatis, PhD
Monitoring AI: Continuous Monitoring of AI for Quality Assurance: Zhongnan Fang, PhD
1:30 pm - Session 3: Making AI Safe
What Do We Know About Detecting Bias? The 2024 Update: Judy Gichoya, MD
AI, the Anti-Hero? Championing Pediatrics With Image IntelliGently: Marla Summer, MD
Update on Responsible Healthcare LLMs: Matt Lungren, MD
2:30 pm - Break
2:45 pm - Session 4: American College of Radiology’s Efforts
The AI Lifecycle: Mike Tilkin, MS
Unifying the Data Model to Enable the Next Generation of Imaging Informatics Tools: Tarik Alkasab, MD, PhD
Arch-AI: Introducing the Recognized Center for Healthcare-AI Program: Laura Coombs, PhD
AI Central: The State of the AI Market: Chris Treml, MS
3:45 pm - Closing Remarks
Day 2 | Sunday, October 6
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 2: 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
Day 3 | Monday, Septober 7
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
Day 4 | Sunday, October 8
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
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Keynote
Regina Barzilay, MD, PhD
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The American College of Radiology designates this live activity for a maximum of 5.0 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]