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

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...

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Detalles Bibliográficos
Autores principales: Nagendran, Myura, Chen, Yang, Lovejoy, Christopher A, Gordon, Anthony C, Komorowski, Matthieu, Harvey, Hugh, Topol, Eric J, Ioannidis, John P A, Collins, Gary S, Maruthappu, Mahiben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group Ltd. 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7190037/
https://www.ncbi.nlm.nih.gov/pubmed/32213531
http://dx.doi.org/10.1136/bmj.m689

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7190037/
https://www.ncbi.nlm.nih.gov/pubmed/32213531
http://dx.doi.org/10.1136/bmj.m689

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