Artificial intelligence can improve decision-making in infection management

Nature Human Behaviour

Volumn 3, Issue 6, 2019, Pages 543-545

  Rawson, Timothy M ^a   Ahmad, Raheelah ^a   Toumazou, Christofer ^a   Georgiou, Pantelis ^b   Holmes, Alison H ^a  

^a The National Institute for Health Research Health Protection Research Unit in Blood Borne and Sexually Transmitted Infections at University College London in partnership with UK Health Security Agency   (United Kingdom)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIINFECTIVE AGENT;

ANTIBIOTIC RESISTANCE; ARTIFICIAL INTELLIGENCE; CLINICAL DECISION MAKING; HUMAN; INFECTION; PRESCRIPTION;

ANTI-BACTERIAL AGENTS; ARTIFICIAL INTELLIGENCE; CLINICAL DECISION-MAKING; DRUG PRESCRIPTIONS; DRUG RESISTANCE, MICROBIAL; HUMANS; INFECTION;

EID: 85063495599     PISSN: None     EISSN: 23973374     Source Type: Journal    
DOI: 10.1038/s41562-019-0583-9     Document Type: Note

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