Testing an AI Large Language Model Tool for Cognitive Debiasing in Musculoskeletal Care

Launched by UNIVERSITY OF TEXAS AT AUSTIN · Jun 7, 2025

Keywords

ClinConnect Summary

This clinical trial is studying whether an artificial intelligence (AI) tool can help patients with chronic orthopedic conditions, like arthritis or carpal tunnel syndrome, better understand their symptoms and improve their visit with a specialist. The trial will compare two groups of patients: one group will use an AI-guided checklist to reflect on their thoughts about their symptoms, while the other group will receive a likely diagnosis based on their symptoms. Both groups will share the AI-generated information with their clinician before their appointment.

To participate, you need to be an adult seeking care for a musculoskeletal issue, speak English, and have a specific level of concerns about your symptoms. During the trial, you will answer some questions, attend your regular appointment, and complete a short survey afterwards to share your experience. The goal is to see if the AI tool can make patients feel more confident and satisfied with their care. This study is not yet recruiting, but it aims to help improve patient care in the future.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Adults (18+)
• • New or return patient seeking musculoskeletal specialty care at an Orthopedic outpatient clinic
• • Total combined score on the 6 feelings and thoughts items of \> 10\* (Appendix 3 of study protocol)
• • English-speaking
• • Pre-visit diagnosis of chronic, non-traumatic musculoskeletal condition (including, but not limited to: osteoarthritis, carpal tunnel syndrome, trigger digit, Dupuytren's, De Quervain's, lateral epicondylitis)
• Exclusion Criteria:
• • Any impairment preventing completion of surveys on a tablet