{"id":261,"date":"2025-05-30T08:45:49","date_gmt":"2025-05-30T12:45:49","guid":{"rendered":"https:\/\/www2.arrs.org\/am26\/?page_id=261"},"modified":"2026-03-26T11:36:05","modified_gmt":"2026-03-26T15:36:05","slug":"artificial-intelligence-categorical-course-clinical","status":"publish","type":"page","link":"https:\/\/www2.arrs.org\/am26\/artificial-intelligence-categorical-course-clinical\/","title":{"rendered":"Clinical Artificial Intelligence in Radiology\u00a0Categorical Course"},"content":{"rendered":"\t\t
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Clinical Artificial Intelligence in Radiology Categorical Course\u200b<\/h2>

Go from AI-curious to AI-confident.<\/h4>

This course cuts through the hype, giving you a practical playbook to understand, implement, and confidently collaborate with AI in your daily practice.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Learning Outcomes<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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As a result of attending this course, you will be able to:<\/p>

  • Analyze the basics of artificial intelligence and its value in radiology<\/li>
  • Create a practical framework for implementation of AI in clinical settings<\/li>
  • Describe radiology applications of AI and summarize research and education approaches<\/li>
  • Explain key perspectives of AI ethics, legal considerations, and human-centric AI<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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    Course Directors<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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    \"\"<\/figure>

    Shandong Wu, PhD<\/h4>

    University of Pittsburgh<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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    \"\"<\/figure>

    Yee Seng Ng, MD<\/h4>

    University of Washington<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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    \"\"<\/figure>

    Hyun Soo Ko, MD<\/h4>

    Peter MacCallum Cancer Centre<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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    Course Schedule<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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    Sunday, April 12, 2026<\/b><\/th><\/tr><\/thead>
    10:00 am\u201312:00 pm: Getting to Know AI<\/th><\/tr>
    Overview of Radiology Artificial Intelligence: Latest Progress<\/td>Tessa Cook, MD, PhD<\/td><\/tr>
    Primer on Artificial Intelligence (AI): Deep Learning, Natural Language Processing and Large Language Models, Generative AI, Agentic AI, and Radiomics<\/td>Hyun Soo Ko, MD<\/td><\/tr>
    Artificial Intelligence Can Improve Radiology Workflow Efficiency By Automating Noninterpretive Tasks<\/td>Linda Moy, MD<\/td><\/tr>
    Artificial Intelligence to Improve Radiology Imaging Interpretation<\/td>Shandong Wu, PhD<\/td><\/tr>
    1:00 pm – 3:00 pm:\u00a0 AI Clinical Implementation<\/th><\/tr>
    Legal and Ethical Considerations in AI Implementation<\/td>Julian Rivera, JD<\/td><\/tr>
    Artificial Intelligence Deployment<\/td>Tessa Cook, MD, PhD<\/td><\/tr>
    Artificial Intelligence (AI) Regulation and Governance: A Practice Perspective On How to Govern Assessment, Deployment, and Maintenance of AI Algorithms<\/td>Melissa Davis, MD, MBA<\/td><\/tr>
    Panel Discussion<\/td>Linda Moy, MD (Moderator); Julian Rivera, JD; Tessa Cook, MD, PhD; Melissa Davis, MD, MBA<\/td><\/tr>
    3:30 pm – 5:30 pm: Going Beyond Images to Multimodality<\/th><\/tr>
    Medical Imaging Dataset Curation for Artificial Intelligence<\/td>Heather Whitney, PhD<\/td><\/tr>
    Multimodal Foundation Models in Radiology<\/td>Christian Bluethgen, MD<\/td><\/tr>
    Physics and Artificial Intelligence in CT<\/td>Lifeng Yu, PhD<\/td><\/tr>
    Panel Discussion<\/td>Heather Whitney, PhD; Christian Bluethgen, MD; Lifeng Yu, PhD<\/td><\/tr><\/tbody><\/table>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    Monday, April 13, 2026<\/strong><\/th><\/tr><\/thead>
    7:30 am \u2013 9:30 am:\u00a0 AI Use Cases in Subspecialties: Breast, Neuro, Abdominal, and MSK<\/strong><\/th><\/tr>
    Breast Imaging Artificial Intelligence<\/td>Constance Lehman, MD, PhD<\/td><\/tr>
    Artificial Intelligence in Neuroradiology<\/td>Paulo Kuriki, MD<\/td><\/tr>
    Artificial Intelligence in Abdominal Imaging<\/td>Yee Ng, MD<\/td><\/tr>
    Current and Emerging Applications of AI in Musculoskeletal Imaging<\/td>Ali Guermazi, MD<\/td><\/tr>
    10:00 am \u2013 12:00 pm:\u00a0 AI Use Cases in Subspecialties: Peds, Cardiothoracic, IR, NM<\/strong><\/th><\/tr>
    Pediatric Radiology Artificial Intelligence<\/td>Edward Lee, MD, MPH<\/td><\/tr>
    Artificial Intelligence in Cardiothoracic Imaging: From Decision Support to Prognostic Biomarkers<\/td>Fernando Kay, MD<\/td><\/tr>
    Applications of Artificial Intelligence in Interventional Radiology<\/td>Satvik Tripathi<\/td><\/tr>
    Nuclear Medicine AI<\/td>Babak Saboury, MD<\/td><\/tr>
    1:00 pm \u2013 3:00 pm:\u00a0 AI Research and Education<\/strong><\/th><\/tr>
    Demonstration of an Artificial Intelligence Model Development Process (From A to Z) in Radiology<\/td>Dooman Arefan, PhD<\/td><\/tr>
    Artificial Intelligence Research in Radiology: Team, Approach, and Direction<\/td>Shandong Wu, PhD<\/td><\/tr>
    Clinically Fluent, AI Literate: Teaching Radiologists About and With AI<\/td>Justin Peacock, MD, PhD<\/td><\/tr>
    Panel Discussion<\/td>Shandong Wu, PhD (Moderator); Dooman Arefan, PhD; Justin Peacock, MD, PhD<\/td><\/tr>
    3:30 pm \u2013 5:30 pm:\u00a0 Humanity and AI<\/strong><\/th><\/tr>
    Radiologist-Artificial Intelligence Collaboration and Teaming<\/td>Florence Doo, MD<\/td><\/tr>
    Bias and Fairness of Artificial Intelligence in Radiology: Current State and Future Directions<\/td>Judy Gichoya, MD, MS<\/td><\/tr>
    Radiologists Fit in AI-Powered Radiology Services That Are Radiologist-Centered<\/td>Eduardo Barbosa, MD, MBA<\/td><\/tr>
    Panel Discussion<\/td>Charles Kahn, Jr., MD, MS (Moderator); Florence Doo, MD; Judy Gichoya, MD, MS; Eduardo Barbosa, MD, MBA<\/td><\/tr><\/tbody><\/table>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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