对ChatGPT放射学出版物的分析:迄今为止的文献
Kaustav Bera1, Gregory O'Connor1, Sirui Jiang1
1Department of Radiology, University Hospitals Cleveland Medical Center, 11000 Euclid Avenue, Cleveland, OH, 44106, USA.
Current problems in diagnostic radiology
|October 27, 2023
概括
早期研究表明,ChatGPT在放射学中具有显著的潜力,影响了从患者教育到报告生成的各种方面. 需要进一步的研究来探索其在医学成像中的能力和局限性.
科学领域:
- 医疗成像中的人工智能
- 在医疗保健中的自然语言处理.
- 放射学研究 放射学研究
背景情况:
- 快速公布ChatGPT已经激起了放射学界的重大兴趣和研究.
- 已经出现了大量的文献来评估ChatGPT在医学成像中的应用和影响.
研究的目的:
- 在放射学中对ChatGPT发表的文献进行全面的定性和定量分析.
- 在公开发布后的九个月内评估ChatGPT研究的范围和影响.
主要方法:
- 在MEDLINE和EMBASE数据库中进行系统的文献搜索,截至2023年8月15日.
- 将文章分类为原创研究,评论和观点.
- 经验丰富的放射科医生使用客观评分系统进行定量分析.
主要成果:
- 在2023年1月至8月期间发表的51篇文章集中在ChatGPT和放射学上.
- 原创研究 (23篇文章) 和非原创研究 (17篇文章) 得到了定量评分.
- 平均得分表明,在原始研究 (3.20/5) 和非原始研究 (1.17/2) 中,ChatGPT的表现很有希望.
结论:
- 聊天GPT在所有放射学领域都展示了多方面的潜力,包括患者教育,报告和临床决策支持.
- 目前的研究表明了令人印象深刻的性能,随着工具的发展,预期会有改进.
- 鉴定的局限性为未来的研究和开发提供了关键的见解,以提高ChatGPT在放射学中的实用性.
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