Daniele Coraci, Maria Chiara Maccarone, Gianluca Regazzo, Giorgia Accordi, Jannis V Papathanasiou, Stefano Masiero
{"title":"ChatGPT in the development of medical questionnaires. The example of the low back pain.","authors":"Daniele Coraci, Maria Chiara Maccarone, Gianluca Regazzo, Giorgia Accordi, Jannis V Papathanasiou, Stefano Masiero","doi":"10.4081/ejtm.2023.12114","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":46459,"journal":{"name":"European Journal of Translational Myology","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10811646/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Translational Myology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4081/ejtm.2023.12114","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
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.