Keynote: Solving AI’s Hammer and Nail Problem

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

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What Are We Talking About When We Talk About AI?

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Additional Learning Materials

• What AI Is (and Is Not) - Katherine Andriole, PhD

• Workflow-Based AI - Paras Lakhani, MD

• Applications of Pixel-Based AI - Judy Wawira Gichoya, MBchB, MS

• Why We Need to Validate and Monitor AI - Woojin Kim, MD

Industry Discussion on Challenges in Creating AI

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Current State of Data Sharing in Practice: Perspectives

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Additional Learning Materials

• An IT Member’s Perspective on Data Sharing - Brian Baker, B.S.

• A Patient’s Perspective on Data Sharing - Andrea Borondy Kitts, MS, MPH

• A Lawyer’s Perspective on Data Sharing - Thomas Hoffman, Esq
  

There's More to Informatics than AI?

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Keynote on Tackling the Economics of Artificial Intelligence

Gregory Nicola, MD, FACR, Chair ACR Commission on Economics and Executive Leadership Hackensack Radiology Group

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Regulatory Issues Related to AI

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Additional Learning Materials

• Regulatory Issues Related to AI: ACR Initiatives - Bibb Allen Jr., MD, FACR

ACR AI-LAB in Action

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Additional Learning Materials

• Challenges in Executing an AI Project - Ali Ardestani, MD, MSc, CIIP

Industry Discussion on Challenges in Deploying AI

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You’ve Purchased an AI Model. Now What?

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Additional Learning Materials

• Lahey Incorporation of AI into Workflow - Christoph Wald, MD, PhD, MBA, FACR

• Discussion on How AI Behaves in Clinical Practice from a Workflow Perspective - Arun Krishnaraj, MD, MPH

• Practical Experience Inserting AI-Based Image Interpretation Algorithms into Diagnostic Radiology Workflow - Cree M. Gaskin, MD

• A Physician’s Perspective on Implementing Proprietary AI - Nina Kottler, MD, MS

• Collaborative Learning: Improving Model Robustness Without the Need for Data Sharing - Jayashree Kalpathy-Cramer, PhD