2024 Medical Student Symposium
Discover the Dynamic Field of Radiology
Jan. 27, 2024 | Virtual
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Take part in a one-day virtual experience, where you will hear from a diverse group of speakers on topics including, but not limited to: diagnostic and interventional radiology, the role of radiologists in promoting health equity, and matching into radiology. Throughout the day, you will explore the rapidly evolving field of radiology.
Saturday, Jan. 28
Saturday, Jan. 27
noon–3pm
- Welcome Address
- Keynote Session
- Subspecialty Presentations
3–3:30pm
- Special Topics in Radiology
- Interactive Q&A
3:30pm–4pm
- Case Competition
Case Competition Details:
The case must be submitted as a PowerPoint file (.pptx, .ppt).
The case submission should match the following format as closely as possible:
- Title Slide (include author first and last names and institutional affiliation)
- Brief HPI/Background
- Unlabeled Imaging Findings
- Labeled Imaging Findings with Short Explanation
- Diagnosis/Intervention/Management
- Brief Discussion/Clinical Pearls
- References (around 2–5)
The case presentation should not exceed seven slides. Winners will have seven minutes maximum to present the case if chosen.
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 ACR offers a comprehensive array of educational options to best meet your learning needs. Many of ACR's lifelong learning opportunities provide Continuing Medical Education Credit (CME).
The ACR has been reviewed by the Accreditation Council for Continuing Medical Education (ACCME®) and awarded Accreditation as a provider of CME for physicians. Accreditation in the ACCME System seeks to assure the medical community and the public that ACR delivers education that is relevant to clinicians’ needs, evidence-based, evaluated for its effectiveness, and independent of commercial influence
The ACR offers a comprehensive array of educational options to best meet your learning needs. Many of ACR's lifelong learning opportunities provide Continuing Medical Education Credit (CME).
The ACR offers a comprehensive array of educational options to best meet your learning needs. Many of ACR's lifelong learning opportunities provide Continuing Medical Education Credit (CME).