Artificial Intelligence in Pain Medicine Package

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    • Regular - Free!
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    • AFSRA/AOSRA-PM/ESRA/LASRA/ASRA Pain Medicine - Free!
    • International - Free!
    • Medical Student - Free!
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Learning Objectives:

  1. Identify and discuss existing AI tools used in pain assessment, diagnosis, and management, including their effectiveness and limitations in clinical settings.
  2. Evaluate how machine learning models can support personalized treatment plans based on patient-specific data, including imaging, genetics, and pain history.
  3. Analyze the ethical and regulatory challenges surrounding AI use in pain medicine, including data privacy, bias, and clinical accountability.
  4. Discuss consensus recommendations for use of AI in academic publishing.

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Learning Objectives
Learning Objectives
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Review the learning objectives before beginning content.
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Introduction
Welcome!
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Meeting Sessions
ASRA Guidelines on Use of AI for Research Submitted for Publication
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How AI Can Improve Outcomes for Patients with Pain
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Using AI to Enhance Efficiency and Effectiveness of Research in Pain Medicine
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AI Can Improve Clinical Documentation and Save Time - Reality or a Myth?
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The Dark Side of AI in Pain Medicine - Risks to Clinical Data Privacy and Hazard of Fake Data in Research
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Open to view video.
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B&C Pearls
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Panel Discussion and Open Forum
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CME Survey
Survey
17 Questions
17 Questions
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CME Certificate
CME Certificate
Up to 1.75 medical credits available  |  Certificate available
Up to 1.75 medical credits available  |  Certificate available
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