review Open AccessTop 1% cited
Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies
BMJ · 2020 · Vol. 368 · pp. m689–m689
Myura Nagendran✉(Imperial College London)Yang Chen(University College London)Christopher A. LovejoyAnthony Gordon(Imperial College Healthcare NHS Trust)Matthieu Komorowski(Imperial College London)Hugh HarveyEric J. Topol(Scripps Research Institute)John P. A. Ioannidis(Protein Metrics (United States))Gary S. Collins(University of Oxford)Mahiben Maruthappu
Abstract
PROSPERO CRD42019123605.
Artificial Intelligence in Healthcare and EducationRadiology practices and educationRadiomics and Machine Learning in Medical ImagingArtificial intelligenceMedicineMEDLINEDeep learningMachine learningSystematic reviewConvolutional neural networkMedical physicsComputer science
MeSH terms
Deep LearningAlgorithmsDiagnostic ImagingHumansImage Processing, Computer-AssistedPhysiciansResearch DesignBiasRandomized Controlled Trials as Topic
Citations
1,000
FWCI
42.16
field-weighted impact
References
40
Percentile
100%
vs. same field & year
Citations per year
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