使用谷歌Bard和Lexicomp®在线TM数据库选抗菌药物和其他处方药物的药物相互作用
Dilveen M Sulaiman1, Suhail S Shaba2, Hind B Almufty3
1Department of Pharmacology, College of Pharmacy, University of Duhok, Duhok, IRQ.
Cureus
|September 11, 2023
概括
谷歌巴德 (Google Bard) 是一个
科学领域:
- 药理学 药理学是指药理学的学科.
- 医疗保健中的人工智能
背景情况:
- 药物相互作用 (DDI) 在患者护理中构成重大风险.
- 准确的DDI查对于药物安全至关重要.
- 人工智能工具正在出现,用于临床决策支持.
研究的目的:
- 评估谷歌Bard在识别药物相互作用 (DDI) 的表现.
- 为了比较谷歌巴德的DDI查能力与Lexicomp® OnlineTM数据库.
- 评估AI在临床DDI检测中的可靠性和准确性.
主要方法:
- 一项横截面研究分析了414个随机选择的处方.
- 使用Google Bard和Lexicomp® OnlineTM对抗微生物药物和其他药物之间的DDI进行了选.
- 包括科恩卡帕在内的统计分析被用来比较这些工具的性能.
主要成果:
- 在Lexicomp® OnlineTM中发现了90个DDI,而谷歌Bard发现了68个.
- 科恩的卡帕值表明谷歌巴德和Lexicomp® OnlineTM在DDI风险评级 (κ=0.01),严重程度 (κ=0.02) 和可靠性 (κ=-0.02) 之间没有或略有一致.
- 在DDI识别,严重性评估和可靠性方面观察到重大差异.
结论:
- 与Lexicomp® OnlineTM相比,谷歌Bard在DDI查的精度和可靠性方面存在局限性.
- 目前,Lexicomp®在线TM在临床DDI查方面具有更大的权威性.
- 医疗保健专业人员应该谨慎行事,不要仅仅依靠人工智能工具来做出有关DDI的关键临床决策.
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