Artificial intelligence in radiology: friend or foe? Where are we now and where are we heading?

Acta Radiologica Open
Emre Pakdemirli

Abstract

The use of artificial intelligence (AI) has been rapidly progressing in medicine, particularly in radiology. AI has also been the source of great innovation and a prominent topic of discussion within radiology societies and ground-breaking research in recent years. Despite the risks and quality assurance issues involved in AI, it offers tremendous opportunities for changing how radiological services are delivered. Moreover, it is conceivable that AI could become a reliable, hard-working friend to the radiologist rather than a foe, in addition to being a useful training tool for radiologist trainees.

References

Feb 13, 2016·JAMA : the Journal of the American Medical Association·Alison M DarcyLaura Weiss Roberts
Mar 3, 2018·Japanese Journal of Radiology·Koichiro YasakaOsamu Abe
May 20, 2018·Nature Reviews. Cancer·Ahmed HosnyHugo J W L Aerts
Oct 16, 2018·Lancet·Enrico Coiera
Dec 21, 2018·Journal of the American Heart Association·Ioannis A KakadiarisMorteza Naghavi

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Citations

Dec 11, 2019·The British Journal of Radiology·Maryann Hardy, Hugh Harvey
Sep 15, 2020·Analytical Methods : Advancing Methods and Applications·Blanka BucsellaFranka Kalman
Oct 22, 2019·Acta Radiologica Open·Emre Pakdemirli
Jan 5, 2021·Journal of the American College of Emergency Physicians Open·Abirami KirubarajanSameer Masood
Jun 12, 2021·Indian Journal of Dermatology, Venereology and Leprology·Varadraj Vasant Pai, Rohini Bhat Pai
Apr 6, 2021·The Indian Journal of Radiology & Imaging·Nitin P Ghonge

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Methods Mentioned

BETA
X-ray

Software Mentioned

Google Chrome browser
AlphaGo
R
CheXNext
CNN

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