A comparison of ChatGPT-generated articles with human-written articles

被引:92
作者
Ariyaratne, Sisith [1 ]
Iyengar, Karthikeyan. P. [2 ]
Nischal, Neha [3 ]
Chitti Babu, Naparla [4 ]
Botchu, Rajesh [1 ]
机构
[1] Royal Orthoped Hosp, Dept Musculoskeletal Radiol, Bristol Rd South, Northfield, Birmingham, England
[2] Southport & Ormskirk Hosp, Dept Orthoped, Southport, England
[3] Holy Family Hosp, Dept Radiol, New Delhi, India
[4] Srinivas Inst Med Sci & Res Ctr, Dept Radiol, Mangalore, India
关键词
ChatGPT; Articles; Accuracy; Research;
D O I
10.1007/s00256-023-04340-5
中图分类号
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学(修复外科学)];
学科分类号
摘要
ObjectiveChatGPT (Generative Pre-trained Transformer) is an artificial intelligence language tool developed by OpenAI that utilises machine learning algorithms to generate text that closely mimics human language. It has recently taken the internet by storm. There have been several concerns regarding the accuracy of documents it generates. This study compares the accuracy and quality of several ChatGPT-generated academic articles with those written by human authors.Material and methodsWe performed a study to assess the accuracy of ChatGPT-generated radiology articles by comparing them with the published or written, and under review articles. These were independently analysed by two fellowship-trained musculoskeletal radiologists and graded from 1 to 5 (1 being bad and inaccurate to 5 being excellent and accurate).ResultsIn total, 4 of the 5 articles written by ChatGPT were significantly inaccurate with fictitious references. One of the papers was well written, with a good introduction and discussion; however, all references were fictitious.ConclusionChatGPT is able to generate coherent research articles, which on initial review may closely resemble authentic articles published by academic researchers. However, all of the articles we assessed were factually inaccurate and had fictitious references. It is worth noting, however, that the articles generated may appear authentic to an untrained reader.
引用
收藏
页码:1755 / 1758
页数:4
相关论文
共 7 条
[1]   The rising root sign: the magnetic resonance appearances of post-operative spinal subdural extra-arachnoid collections [J].
Bharath, A. ;
Uhiara, O. ;
Botchu, Rajesh ;
Davies, A. M. ;
James, S. L. .
SKELETAL RADIOLOGY, 2017, 46 (09) :1225-1231
[2]   ChatGPT and the Future of Medical Writing [J].
Biswas, Som .
RADIOLOGY, 2023, 307 (02)
[3]   ChatGPT Is Shaping the Future of Medical Writing But Still Requires Human Judgment [J].
Kitamura, Felipe C. .
RADIOLOGY, 2023, 307 (02)
[4]   Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models [J].
Kung, Tiffany H. ;
Cheatham, Morgan ;
Medenilla, Arielle ;
Sillos, Czarina ;
De Leon, Lorie ;
Elepano, Camille ;
Madriaga, Maria ;
Aggabao, Rimel ;
Diaz-Candido, Giezel ;
Maningo, James ;
Tseng, Victor .
PLOS DIGITAL HEALTH, 2023, 2 (02)
[5]  
OpenAI, 2022, Introducing chatgpt
[6]   A pragmatic approach to the imaging and follow-up of solitary central cartilage tumours of the proximal humerus and knee [J].
Patel, A. ;
Davies, A. M. ;
Botchu, R. ;
James, S. .
CLINICAL RADIOLOGY, 2019, 74 (07) :517-526
[7]   ChatGPT and Other Large Language Models Are Double-edged Swords [J].
Shen, Yiqiu ;
Heacock, Laura ;
Elias, Jonathan ;
Hentel, Keith D. ;
Reig, Beatriu ;
Shih, George ;
Moy, Linda .
RADIOLOGY, 2023, 307 (02)