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

Liu, Xiaoxuan; Faes, Livia; U. Kale, Aditya; K. Wagner, Siegfried; Jack Fu, Dun; Bruynseels, Alice; Mahendiran, Thushika; Moraes, Gabriella; Shamdas, Mohith; Kern, Christoph; R. Ledsam, Joseph; Schmid, Martin; Balaskas, Konstantinos; J. Topol, Eric; M. Bachmann, Lucas; A. Keane, Pearse; K. Denniston, Alastair

doi:10.1016/s2589-7500(19)30123-2

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

Published in The Lancet Digital Health • Sep 25, 2019

Authors:

Xiaoxuan Liu

Livia Faes

Aditya U. Kale

Abstract

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 searched Ov...

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Meta-analysis

Artificial intelligence

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