Health Technology/clinical-trials

Novel Trial Tests AI-Assisted Cognitive Debiasing to Improve Patient-Clinician Trust in Musculoskeletal Care

247 Health News Editorial

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21 June 2026

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4 min read

·clinical-trials

A groundbreaking US trial tests whether AI-assisted cognitive debiasing can improve patient trust and experience in musculoskeletal specialty care. The study compares LLM-facilitated reflection techniques against standard diagnostic feedback in 150 patients with chronic orthopaedic conditions.

Originally reported by ClinicalTrials.gov

References

  1. 1.University of Texas at Austin. (2024). Comparison of a Large Language Model (LLM)-Facilitated Cognitive Debiasing Strategy Versus LLM-Generated Diagnostic Feedback Alone in Musculoskeletal Specialty Care: A Randomized Controlled Trial. ClinicalTrials.gov. NCT07022769. https://clinicaltrials.gov/study/NCT07022769
  2. 2.Vos, T., Lim, S. S., Abbafati, C., Abbas, K. M., Abbasi, M., Abbasifard, M., ... & Murray, C. J. (2020). Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet, 396(10258), 1204-1222. https://doi.org/10.1016/S0140-6736(20)30925-9
  3. 3.Martinez-Calderon, J., Zamora-Campos, C., Navarro-Ledesma, S., & Luque-Suarez, A. (2018). The role of self-efficacy on the prognosis of chronic musculoskeletal pain: a systematic review. The Journal of Pain, 19(1), 10-34. https://doi.org/10.1016/j.jpain.2018.07.007
  4. 4.Hall, A. M., Ferreira, P. H., Maher, C. G., Latimer, J., & Ferreira, M. L. (2010). The influence of the therapist-patient relationship on treatment outcome in physical rehabilitation: a systematic review. Physical Therapy, 90(8), 1099-1110. https://doi.org/10.2522/ptj.20090245
  5. 5.Nicholas, M., Vlaeyen, J. W., Rief, W., Barke, A., Aziz, Q., Benoliel, R., ... & Treede, R. D. (2019). The IASP classification of chronic pain for ICD-11: chronic primary pain. Pain, 160(1), 28-37. https://doi.org/10.1097/j.pain.0000000000001390
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