Department of Radiology, University Hospitals Cleveland Medical Center, 11000 Euclid Avenue, Cleveland, OH, 44106, USA.
Department of Radiology, University Hospitals Cleveland Medical Center, 11000 Euclid Avenue, Cleveland, OH, 44106, USA.
Curr Probl Diagn Radiol. 2024 Mar-Apr;53(2):215-225. doi: 10.1067/j.cpradiol.2023.10.013. Epub 2023 Oct 20.
To perform a detailed qualitative and quantitative analysis of the published literature on ChatGPT and radiology in the nine months since its public release, detailing the scope of the work in the short timeframe.
A systematic literature search was carried out of the MEDLINE, EMBASE databases through August 15, 2023 for articles that were focused on ChatGPT and imaging/radiology. Articles were classified into original research and reviews/perspectives. Quantitative analysis was carried out by two experienced radiologists using objective scoring systems for evaluating original and non-original research.
51 articles were published involving ChatGPT and radiology/imaging dating from 26 Jan 2023 to the last article published on 14 Aug 2023. 23 articles were original research while the rest included reviews/perspectives or brief communications. For quantitative analysis scored by two readers, we included 23 original research and 17 non-original research articles (after excluding 11 letters as responses to previous articles). Mean score for original research was 3.20 out of 5 (across five questions), while mean score for non-original research was 1.17 out of 2 (across six questions). Mean score grading performance of ChatGPT in original research was 3.20 out of five (across two questions).
While it is early days for ChatGPT and its impact in radiology, there has already been a plethora of articles talking about the multifaceted nature of the tool and how it can impact every aspect of radiology from patient education, pre-authorization, protocol selection, generating differentials, to structuring radiology reports. Most articles show impressive performance of ChatGPT which can only improve with more research and improvements in the tool itself. There have also been several articles which have highlighted the limitations of ChatGPT in its current iteration, which will allow radiologists and researchers to improve these areas.
详细分析自 ChatGPT 发布以来的九个月内已发表的有关 ChatGPT 和放射学的文献，详细说明在短时间内的工作范围。
对 MEDLINE、EMBASE 数据库进行系统文献检索，检索时间截至 2023 年 8 月 15 日，检索内容为聚焦于 ChatGPT 和成像/放射学的文章。文章分为原始研究和综述/观点。两位有经验的放射科医生使用客观评分系统对原始和非原始研究进行定量分析。
共发表了 51 篇涉及 ChatGPT 和放射学/影像学的文章，时间从 2023 年 1 月 26 日至最后一篇文章发表日期 2023 年 8 月 14 日。23 篇为原始研究，其余为综述/观点或简短交流。对两位读者评分的定量分析，我们纳入了 23 篇原始研究和 17 篇非原始研究文章（排除了 11 篇作为对之前文章的回复的信件）。原始研究的平均得分为 5 分中的 3.20 分（共五个问题），而非原始研究的平均得分为 2 分中的 1.17 分（共六个问题）。原始研究中 ChatGPT 的平均评分表现为五分中的 3.20 分（共两个问题）。
虽然 ChatGPT 及其在放射学中的影响还处于早期阶段，但已经有大量文章讨论了该工具的多方面性质以及它如何影响放射学的各个方面，从患者教育、预授权、方案选择、生成鉴别诊断到构建放射学报告。大多数文章都展示了 ChatGPT 的令人印象深刻的性能，随着更多的研究和工具本身的改进，它只会不断提高。也有几篇文章强调了 ChatGPT 在当前版本中的局限性，这将使放射科医生和研究人员能够改进这些方面。
