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Peer-Reviewed Publication
Eur Radiol2024;34(2):810-822.February 1, 2024Journal Article

Effects of a comprehensive brain computed tomography deep learning model on radiologist detection accuracy.

Quinlan D Buchlak1,2,3, Cyril H M Tang4, Jarrel C Y Seah4,5, Andrew Johnson4, Xavier Holt4, Georgina M Bottrell4, Jeffrey B Wardman4, Gihan Samarasinghe4, Leonardo Dos Santos Pinheiro4, Hongze Xia4, Hassan K Ahmad4, Hung Pham4,6, Jason I Chiang4,7,8, Nalan Ektas4, Michael R Milne4, Christopher H Y Chiu4, Ben Hachey4, Melissa K Ryan4, Benjamin P Johnston4, Nazanin Esmaili9,10, Christine Bennett9, Tony Goldschlager11,12, Jonathan Hall4,13,14, Duc Tan Vo6, Lauren Oakden-Rayner15, Jean-Christophe Leveque16, Farrokh Farrokhi16, Richard G Abramson4, Catherine M Jones4,17,18,19, Simon Edelstein4,17,20, Peter Brotchie4,13
1Annalise.ai, Sydney, NSW, Australia. quinlan.buchlak1@my.nd.edu.au.
2School of Medicine, University of Notre Dame Australia, Sydney, NSW, Australia. quinlan.buchlak1@my.nd.edu.au.
3Department of Neurosurgery, Monash Health, Clayton, VIC, Australia. quinlan.buchlak1@my.nd.edu.au.
4Annalise.ai, Sydney, NSW, Australia.
5Department of Radiology, Alfred Health, Melbourne, VIC, Australia.
6Department of Radiology, University Medical Center, University of Medicine and Pharmacy, Ho Chi Minh City, Vietnam.
7Department of General Practice, University of Melbourne, Melbourne, VIC, Australia.
8Westmead Applied Research Centre, University of Sydney, Sydney, NSW, Australia.
9School of Medicine, University of Notre Dame Australia, Sydney, NSW, Australia.
10Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia.
11Department of Neurosurgery, Monash Health, Clayton, VIC, Australia.
12Department of Surgery, Monash University, Clayton, VIC, Australia.
13Department of Radiology, St Vincent's Health Australia, Melbourne, VIC, Australia.
14Department of Radiology, Austin Hospital, Melbourne, VIC, Australia.
15Australian Institute for Machine Learning, The University of Adelaide, Adelaide, SA, Australia.
16Center for Neurosciences and Spine, Virginia Mason Franciscan Health, Seattle, WA, USA.
17I-MED Radiology Network, Brisbane, QLD, Australia.
18School of Public and Preventive Health, Monash University, Clayton, VIC, Australia.
19Department of Clinical Imaging Science, University of Sydney, Sydney, NSW, Australia.
20Department of Radiology, Monash Health, Clayton, VIC, Australia.

Abstract

OBJECTIVES: Non-contrast computed tomography of the brain (NCCTB) is commonly used to detect intracranial pathology but is subject to interpretation errors. Machine learning can augment clinical decision-making and improve NCCTB scan interpretation. This retrospective detection accuracy study assessed the performance of radiologists assisted by a deep learning model and compared the standalone per…

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