Artificial intelligence can improve decision-making in infection management

被引：0
|
作者：
Timothy M. Rawson
Raheelah Ahmad
Christofer Toumazou
Pantelis Georgiou
Alison H. Holmes
机构：
[1] Imperial College London,National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance
[2] Imperial College London,Department of Electrical and Electronic Engineering
来源：
Nature Human Behaviour | 2019年 / 3卷
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学科分类号：
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.
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页码：543 / 545
页数：2
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