https://doi.org/10.4081/ejtm.2023.12114
ChatGPT in the development of medical questionnaires. The example of the low back pain
Submitted: 21 November 2023
Accepted: 4 December 2023
Published: 15 December 2023
Accepted: 4 December 2023
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
In the last year, Chat Generative Pre-Trained Transformer (ChatGPT), a web software based on artificial intelligence has been showing high potential in every field of knowledge. In the medical area, its possible application is an object of many studies with promising results. We performed the current study to investigate the possible usefulness of ChatGPT in assessing low back pain. We asked ChatGPT to generate a questionnaire about this clinical condition and we compared the obtained questions and results with the ones obtained by other validated questionnaires: Oswestry Disability Index, Quebec Back Pain Disability Scale, Roland-Morris Disability Questionnaire, and Numeric Rating Scale for pain. We enrolled 20 subjects with low back pain and we found important consistencies among the validated questionnaires. The ChatGPT questionnaire showed an acceptable significant correlation only with Oswestry Disability Index and Quebec Back Pain Disability Scale. ChatGPT showed some peculiarities, especially in the assessment of quality of life and medical consultation and treatments. Our study shows that ChatGPT can help evaluate patients, including multilevel perspectives. However, its power is limited, and further research and validation are required.
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How to Cite
Coraci, D., Maccarone, M. C., Regazzo, G., Accordi, G., Papathanasiou, J. V., & Masiero, S. (2023). ChatGPT in the development of medical questionnaires. The example of the low back pain. European Journal of Translational Myology, 33(4). https://doi.org/10.4081/ejtm.2023.12114
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