{"title":"Exploring the Role of Open Artificial Intelligence Platform on Surgical Management of Knee Osteoarthritis: A Case Study of ChatGPT","authors":"Ishith Seth","doi":"10.46619/joccr.2023.6-s13.1002","DOIUrl":null,"url":null,"abstract":"Chat Generative Pre-Trained Transformer 3 (ChatGPT3) is an open artificial intelligence (AI) platform that utilizes deep learning to produce human-like text, which could greatly reduce the time spent on literature search, data analysis and research writing in future, and ensures academic standards of writing. This study aims to evaluate the information provided by open artificial intelligence, Chat Generative Pre-Trained Transformed 3 (ChatGPT3) and its use in orthopedic surgery research writing. Serial of five prompted questions on surgical management of knee osteoarthritis (OA) were asked from ChatGPT3. The answers were reviewed and scrutinized for how updated, accurate and succinctly presented the information was in text and referencing. The information ChatGPT3 provided was accurate, albeit surface-level. It lacked analytical abilities, missed vital studies, and all references links were incorrect. It seems that while the algorithm has access to all information on the internet until 2021, it lacked the analytical ability to dissect for important limitations about knee OA, which would not be conducive to potentiating creative ideas and solutions in orthopedic surgery. ChatGTP3 only promotes convergent thinking and prevent innovation and therefore should be limited within the scope of research or at least reviewed under the guidance of experts.","PeriodicalId":376307,"journal":{"name":"Journal of Clinical Cases and Reports","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Clinical Cases and Reports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46619/joccr.2023.6-s13.1002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Chat Generative Pre-Trained Transformer 3 (ChatGPT3) is an open artificial intelligence (AI) platform that utilizes deep learning to produce human-like text, which could greatly reduce the time spent on literature search, data analysis and research writing in future, and ensures academic standards of writing. This study aims to evaluate the information provided by open artificial intelligence, Chat Generative Pre-Trained Transformed 3 (ChatGPT3) and its use in orthopedic surgery research writing. Serial of five prompted questions on surgical management of knee osteoarthritis (OA) were asked from ChatGPT3. The answers were reviewed and scrutinized for how updated, accurate and succinctly presented the information was in text and referencing. The information ChatGPT3 provided was accurate, albeit surface-level. It lacked analytical abilities, missed vital studies, and all references links were incorrect. It seems that while the algorithm has access to all information on the internet until 2021, it lacked the analytical ability to dissect for important limitations about knee OA, which would not be conducive to potentiating creative ideas and solutions in orthopedic surgery. ChatGTP3 only promotes convergent thinking and prevent innovation and therefore should be limited within the scope of research or at least reviewed under the guidance of experts.