Advancing the prediction and understanding of placebo responses in chronic back pain using large language models.

ABSTRACT: Placebo analgesia in chronic pain is a widely studied clinical phenomenon, where expectations about the effectiveness of a treatment can result in substantial pain relief when using an inert treatment agent. While placebos offer an opportunity for non-pharmacological treatment in chronic pain, not everyone demonstrates an analgesic response. Prior research has identified biopsychosocial factors that determine the likelihood of an individual to respond to a placebo, yet generalizability and ecological validity in those studies have been limited due to the inability to account for dynamic personal and treatment effects-which are well-known to play a role. Here, we assessed the potential of using fine-tuned large language models (LLMs) to predict placebo responders in chronic low-back pain us

SUBMITTER: Nunes DAP 

PROVIDER: S-EPMC11838926 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature