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Final Program


Schedule at a Glance
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Program: Scientific Session
General Topic: ARP

Making Sense of Machine Learning: How to Read, Interpret, and Apply New Research

Tuesday, October 28, 2025
1:00 PM – 2:00 PM Central Time

    Moderator(s)

  • Cynthia Crowson, PhD

    Mayo Clinic
    Stewartvillle, Minnesota, United States

    Disclosure information not submitted.

  • Joshua Stefanik, PhD, PT

    Northeastern University
    Boston, Massachusetts, United States

    Disclosure information not submitted.

    • Session Coordinator(s)

  • Louise Thoma, PhD, DPT

    University of North Carolina
    Chapel Hill, North Carolina, United States

    Disclosure information not submitted.

This session will discuss reporting of machine learning results and ways to appropriately evaluate and interpret these analyses to ensure transparency and improve the quality of treatment and care in rheumatology.

Learning Objectives:

  • Explain the potential of machine learning in rheumatology and limitations of these methods compared with conventional statistics
  • Provide recommendations and examples for structured reporting of machine learning analyses, including reviewing published guidelines on machine learning reporting
  • Provide recommendations for evaluating and interpreting the results and how these results can be used in clinical practice and research

Presentations:

  • 1:00 PM – 1:30 PM Central Time
    Guidelines on the Use of Machine Learning Models in Rheumatology: Recommendations for Reporting of Model Specifications and Results for Authors and Reviewers

    Speaker: Liubov Arbeeva, MSc – University of North Carolina, Chapel Hill

  • 1:30 PM – 2:00 PM Central Time
    Evaluation and Interpretation of the Results: Understanding Biases, Limitations, and Applicability to Clinical Practice

    Speaker: Jamie Collins, PhD – Brigham and Women's Hospital