A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis

A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis

Summary: Background: Deep learning offers considerable promise for medical diagnostics. We aimed to evaluate the diagnostic accuracy of deep learning algorithms versus health-care professionals in classifying diseases using medical imaging. Methods: In this systematic review and meta-analysis, we s...

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Bibliographic Details
Main Authors: Xiaoxuan Liu, MBChB, Livia Faes, MD, Aditya U Kale, MBChB, Siegfried K Wagner, BMBCh, Dun Jack Fu, PhD, Alice Bruynseels, MBChB, Thushika Mahendiran, MBChB, Gabriella Moraes, MD, Mohith Shamdas, MBBS, Christoph Kern, MD, Joseph R Ledsam, MBChB, Martin K Schmid, MD, Konstantinos Balaskas, MD, Eric J Topol, MD, Lucas M Bachmann, ProfPhD, Pearse A Keane, MD, Alastair K Denniston, ProfPhD
Format: Article
Language:English
Published: Elsevier 2019-10-01
Series:The Lancet: Digital Health
Online Access:http://www.sciencedirect.com/science/article/pii/S2589750019301232

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