Response of ChatGPT similar to findings in current literature on Lumbar spinal stenosis: Study

Rajjoub et al conducted a study to assess and compare ChatGPT's responses to the clinical questions and recommendations proposed by The 2011 North American Spine Society (NASS) Clinical Guideline for the Diagnosis and Treatment of Degenerative Lumbar Spinal Stenosis (LSS). The study has been published in ‘Global Spine Journal’.

ChatGPT is an artificial intelligence (AI) language model that utilizes deep learning to generate responses to human prompts on command. The latest version of ChatGPT (GPT-3.5) was trained on 45 terabytes of text data, including news articles, books, journals, and other sources that allow it to readily respond to a wide array of queries. Thus, the advent of ChatGPT has led to its interest in its ability to synthesize medical knowledge and make clinical decisions.

The authors explore the advantages and disadvantages of ChatGPT’s responses through an updated literature review on spinal stenosis. They prompted ChatGPT with questions from the NASS Evidence-based Clinical Guidelines for LSS and compared its generated responses with the recommendations provided by the guidelines. A review of the literature was performed via PubMed, OVID, and Cochrane on the diagnosis and treatment of lumbar spinal stenosis between January 2012 and April 2023.