Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies

Nagendran, Myura; Chen, Yang; A. Lovejoy, Christopher; Gordon, Anthony; Komorowski, Matthieu; Harvey, Hugh; J. Topol, Eric; P. A. Ioannidis, John; Gary S. Collins, Professor; Maruthappu, Mahiben

doi:10.1136/bmj.m689

Public

Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies

Published in BMJ • Mar 25, 2020

Authors:

Myura Nagendran

Yang Chen

Christopher A. Lovejoy

Abstract

OBJECTIVE: To systematically examine the design, reporting standards, risk of bias, and claims of studies comparing the performance of diagnostic deep learning algorithms for medical imaging with that of expert clinicians. DESIGN: Systematic review. DATA SOURCES: Medline, Embase, Cochrane Central Re...

Subject

Artificial intelligence

Medicine

MEDLINE

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