Artificial intelligence can improve decision-making in infection management

被引：34
|
作者：
Rawson, Timothy M. [1 ]
Ahmad, Raheelah [1 ]
Toumazou, Christofer [1 ]
Georgiou, Pantelis [2 ]
Holmes, Alison H. [1 ]
机构：
[1] Imperial Coll London, Natl Inst Hlth Res Hlth Protect Res Unit Healthca, London, England
[2] Imperial Coll London, Dept Elect & Elect Engn, London, England
来源：
NATURE HUMAN BEHAVIOUR | 2019年 / 3卷 / 06期
基金：
英国工程与自然科学研究理事会;
关键词：
PREDICTION; SUPPORT;
D O I：
10.1038/s41562-019-0583-9
中图分类号：
B84 [心理学];
学科分类号：
04 ; 0402 ;
摘要：
Antibiotic resistance is an emerging global danger. Reaching responsible prescribing decisions requires the integration of broad and complex information. Artificial intelligence tools could support decision-making at multiple levels, but building them needs a transparent co-development approach to ensure their adoption upon implementation.
引用
收藏
页码：543 / 545
页数：3
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