人工智能在输血医学和阿菲雷西斯的实际应用
Celine Anstey1, David Ullman2, Leon Su3
1Department of Biology - University of South Carolina, Columbia, SC, USA.
概括
临床医生可以使用ChatGPT (生成预训练变压器) 来创建定制的计算机程序,用于日常输血医学计算,使得无需编程经验的结果可以准确和可重复.
科学领域:
- 人工智能在医学中的应用
- 计算生物学 计算生物学
- 医疗信息学 医疗信息学
背景情况:
- 血液和血体积计算在输血医学和阿费雷西斯中至关重要.
- 现有的公式可能需要对特定设施进行修改.
- 生成式预训练变压器 (ChatGPT) 为创建个性化临床工具提供了一种新的方法.
研究的目的:
- 为临床医生开发一个逐步流程,使用人工智能创建定制的计算机程序.
- 为了实现在输血医学实践中进行日常计算的个性化解决方案.
主要方法:
- 利用ChatGPT-4生成基于自然语言输入的计算机编程代码.
- 在Python和谷歌协作中验证了代码功能.
- 评估了五天的过程持久性,并通过志愿者繁殖.
主要成果:
- 聊天GPT生成的代码是准确的,持久的,并且功能齐全.
- 志愿者成功地在最少的指导下重现了过程和结果.
- 证明了AI驱动的代码生成对临床应用的可靠性.
结论:
- 通过ChatGPT-4的人工智能 (AI) 实际上适用于输血医学计算.
- 没有编程经验的临床医生可以创建定制的计算解决方案.
- 未来的工作包括为个人用户需求开发可定制的网站.
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