在药量测量中使用ChatGPT吗? 潜在的机会和局限性
Michael E Cloesmeijer1, Alexander Janssen1, Sjoerd F Koopman1
1Department of Hospital Pharmacy - Clinical Pharmacology, Amsterdam University Medical Centers, Amsterdam, The Netherlands.
British journal of clinical pharmacology
|August 25, 2023
概括
这项研究表明,ChatGPT可以帮助开发第八因子药理动力学 (PK) 的药理学模型,生成R代码和可视化. 然而,研究人员必须验证人工智能生成的数据准确性和代码可复制性.
科学领域:
- 制药指标 (Pharmacometrics) 是一个指标.
- 计算生物学 计算生物学
- 人工智能在医学中的应用
背景情况:
- 药量计模型对于药物开发和临床决策至关重要.
- 传统的模型开发可能耗时,需要专门的编程技能.
研究的目的:
- 探索ChatGPT在开发人群药动力学 (PK) VIII因子模型中的实用性.
- 评估ChatGPT在文献数据提取,代码生成和药量测量应用程序开发方面的能力.
主要方法:
- 使用ChatGPT从科学文献中提取PK参数.
- 雇佣了ChatGPT来生成人口PK模型开发的R代码.
- 开发了一个交互式的Shiny应用程序,用于使用ChatGPT辅助代码可视化PK模型结果.
主要成果:
- 从文献中,ChatGPT成功地获得了因子VIII的典型PK参数.
- 为人口PK模型构建和Shiny可视化工具生成R代码.
- 证明了ChatGPT在编码方面能够以最少的编程专业知识提供帮助,包括错误识别和纠正.
结论:
- 聊天GPT显示了简化药量测量模型开发的巨大潜力.
- 限制包括确保人工智能生成的药量计模型和代码的准确性,可靠性,透明度和可重复性.
- 研究人员应根据特定项目的要求谨慎评估ChatGPT在药量学中的应用.
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