Journal article
Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies in medical imaging.
- Abstract:
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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 Register of Controlled Trials, and the World Health Organization trial registry from 2010 to June 2019.
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, 518.5KB, Terms of use)
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- Publisher copy:
- 10.1136/bmj.m689
Authors
- Publisher:
- BMJ Publishing Group
- Journal:
- BMJ More from this journal
- Volume:
- 368
- Issue:
- 2020
- Article number:
- M689
- Publication date:
- 2020-03-25
- Acceptance date:
- 2020-02-11
- DOI:
- EISSN:
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1756-1833
- ISSN:
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1759-2151
- Pmid:
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32213531
- Language:
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English
- Keywords:
- Pubs id:
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1097193
- Local pid:
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pubs:1097193
- Deposit date:
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2020-03-31
Terms of use
- Copyright holder:
- British Medical Journal Publishing Group
- Copyright date:
- 2020
- Rights statement:
- © 2020, British Medical Journal Publishing Group. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license
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