Clinical applications of machine learning algorithms: Beyond the black box

BMJ (Online)

Volumn 364, Issue , 2019, Pages

  Watson, David S ^a,b,c   Krutzinna, Jenny ^a   Bruce, Ian N ^d,e   Griffiths, Christopher E M ^d,e   McInnes, Iain B ^f   Barnes, Michael R ^b,c   Floridi, Luciano ^a,c  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

^c ALAN TURING INSTITUTE   (United Kingdom)

^d UNIVERSITY OF MANCHESTER   (United Kingdom)

^e MANCHESTER UNIVERSITY NHS FOUNDATION TRUST   (United Kingdom)

^f UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; CLINICAL DECISION MAKING; CLINICAL PRACTICE; DIAGNOSTIC ERROR; ELECTRONIC HEALTH RECORD; HEALTH CARE POLICY; HUMAN; LEARNING ALGORITHM; MEDICAL ETHICS; PERSONALIZED MEDICINE; PRIORITY JOURNAL; STATISTICAL MODEL; ALGORITHM; ATTITUDE TO COMPUTERS; ATTITUDE TO HEALTH; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED THERAPY; COMPUTER SECURITY; ETHICS; HEALTH PERSONNEL ATTITUDE; LEGISLATION AND JURISPRUDENCE; MACHINE LEARNING; PROCEDURES;

ALGORITHMS; ATTITUDE OF HEALTH PERSONNEL; ATTITUDE TO COMPUTERS; CLINICAL DECISION-MAKING; COMPUTER SECURITY; DIAGNOSIS, COMPUTER-ASSISTED; ETHICS, MEDICAL; HEALTH KNOWLEDGE, ATTITUDES, PRACTICE; HUMANS; MACHINE LEARNING; THERAPY, COMPUTER-ASSISTED;

EID: 85062890886     PISSN: 09598146     EISSN: 17561833     Source Type: Journal    
DOI: 10.1136/bmj.l886     Document Type: Article

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