AI in Clinical Practice: Choosing the Right Tools for Your Practice and Patients

Virtual 2021 ACR® Data Science Summit
Wednesday, June 16, 2021 | Noon–5:00pm ET
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What to expect?

Knowing how to select the right artificial intelligence (AI) tools is essential to optimizing workflow and patient care at your practice. Join us for a virtual meeting to learn how you can choose the right tools for your practice and patients.

  • Assess different types of FDA cleared AI models and products that are currently available.
  • Review the ethical, regulatory, legal, and economic impacts of implementing AI in clinical practice.
  • Discuss patient perspectives and how to communicate with patients regarding the use of AI in your practice. 

Who attends?

  • Clinical informaticists and fellows, radiologists, residents, enterprise IT, clinical applications professionals.
  • Industry partners and developers interested in pursuing data-sharing arrangements.
  • All those who want to learn more about AI in clinical practice.

Course Overview:

  • Brief keynote presentations.
  • In-depth panel discussions.
  • Networking opportunities with faculty and attendees.
  • Earn CME (see agenda for full details).

Course Objectives:

  • List and describe the types of AI models and products available.
  • Summarize advancements related to AI clinical integration.
  • Recall ACR AI-related initiatives, including the FDA Cleared Models Catalog, Evaluate-AI, and ACR AI-LabTM.
  • Summarize the current FDA Action Plan and potential effect of suspension of 510(k) Clearance Process.
  • Outline patient perspectives on AI.
  • Summarize different patient communication strategies to discuss AI technology.
  • List key attributes for AI technology to ensure models are safe and effective.
  • Describe the CMS NTAP program and explain why some AI products are included in this program while others are not.
  • Compare AI algorithms and clinical trial design.
  • Detail the impacts of implementing AI in clinical practice, including ethical, regulatory, legal, and economic perspectives.
  • Describe strategies to create a safe and effective AI clinical practice.

Speakers

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