开发一个人工智能驱动的药物风险评分计算器应用程序
Ádám Bertalan1, Viola Angyal1, Péter Domján2
1Institute of Digital Health Sciences, Health Sciences Division, Doctoral College, Semmelweis University, Budapest, Hungary.
Basic & clinical pharmacology & toxicology
|September 22, 2025
概括
增强药物风险评分 (AUGMERIS) 计算器使用人工智能自动化药物风险评估,提高患者安全. 该工具通过分析药物组合和功能,帮助全球识别高风险患者.
科学领域:
- 药理学 药理学是指药理学的学科.
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 临床药剂师在评估复杂的药物治疗和识别高风险患者方面面临着挑战.
- 为药物风险评估处理非结构化电子健康记录 (EHR) 是一个重大障碍.
- 现有的方法可能无法有效地将药物相互作用和功能 (例如,eGFR) 整合到风险得分中.
研究的目的:
- 开发和验证增强型药物风险评分 (AUGMERIS) 计算器,这是一个由人工智能驱动的网络应用程序.
- 通过使用丹麦药物风险评分 (MERIS) 方法自动化药物治疗的评估.
- 创建一个全球可访问的工具,用于识别需要药物审查的患者.
主要方法:
- 开发了一种混合文本处理模型,将传统算法与生成预训练变压器 (GPT) 技术相结合.
- 将文本处理模型和自动化风险计算集成到一个使用Python 3和Streamlit.的Web应用程序中.
- 通过8个国家的志愿测试人员的数据验证了应用程序的性能.
主要成果:
- AUGMERIS 网络应用程序成功地自动化了药物风险评估,整合了药物组合和eGFR.
- 混合文本处理模型有效地处理非结构化的EHR数据,用于风险评估.
- 志愿测试人员进行了383次试验计算,尽管存在验证限制,但表现令人满意.
结论:
- AUGMERIS计算器有可能显著改善全球药物治疗和患者安全.
- 更广泛地采用AUGMERIS可以提高药物评价,并优化跨不同医疗保健系统的治疗.
- 该工具展示了在临床实践中使用人工智能进行自动化药物风险评估的可行性.
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