PS-06 - Artificial Intelligence in Pain Medicine

Saturday, November 15, 2025

10:45 AM - 12:45 PM CT

Location: Lone Star Salon D - E

CE: 2.0

Moderator(s)

Michael Fettiplace, MD PhD (he/him/his)

Assistant Professor
University of Illinois at Chicago
Chicago, Illinois, United States
Usman Latif, MD MBA (he/him/his)

Associate Professor
The University of Kansas Health System
Leawood, Kansas, United States
Jay Grider, DO, PhD, MBA (he/him/his)

Professor
University of Kentucky
Lexington, Kentucky, United States

Nu Cindy Chai, MD (she/her/hers)

Pain Fellowship Program Director
UCSF
San Francisco, California, United States

Ariana Nelson, MD (she/her/hers)

Associate Professor of Anesthesiology
University of California, Irvine
Laguna Beach, California, United States

Disclosure(s):

Sandra L. Kopp, MD: No financial relationships to disclose

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

10:45 AM - 11:05 AM CT

ASRA Pain Medicine Guidelines on Use of AI for Research Submitted for Publication
Speaker: Michael R. Fettiplace, MD PhD (he/him/his) – University of Illinois at Chicago
11:05 AM - 11:25 AM CT

How AI Can Improve Outcomes for Patients with Pain
Speaker: Usman Latif, MD MBA (he/him/his) – The University of Kansas Health System
11:25 AM - 11:45 AM CT

Using AI to Enhance Efficiency and Effectiveness of Research in Pain Medicine
Speaker: Jay S. Grider, DO, PhD, MBA (he/him/his) – University of Kentucky
11:45 AM - 12:05 PM CT

AI Can Improve Clinical Documentation and Save Time - Reality or Myth?
Associate Faculty: Nu Cindy Chai, MD (she/her/hers) – UCSF
Co-Presenter: Ariana M. Nelson, MD (she/her/hers) – University of California, Irvine
12:05 PM - 12:25 PM CT

The Dark Side of AI in Pain Medicine - Risks to Clinical Data Privacy and Hazard of Fake Data in Research
Speaker: Ariana M. Nelson, MD (she/her/hers) – University of California, Irvine
12:25 PM - 12:45 PM CT

Billing & Coding Pearls
Speaker: Usman Latif, MD MBA (he/him/his) – The University of Kansas Health System