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

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Title: Effects of a comprehensive brain computed tomography deep learning model on radiologist detection accuracy.
Authors: Buchlak QD; Annalise.ai, Sydney, NSW, Australia. quinlan.buchlak1@my.nd.edu.au.; School of Medicine, University of Notre Dame Australia, Sydney, NSW, Australia. quinlan.buchlak1@my.nd.edu.au.; Department of Neurosurgery, Monash Health, Clayton, VIC, Australia. quinlan.buchlak1@my.nd.edu.au., Tang CHM; Annalise.ai, Sydney, NSW, Australia., Seah JCY; Annalise.ai, Sydney, NSW, Australia.; Department of Radiology, Alfred Health, Melbourne, VIC, Australia., Johnson A; Annalise.ai, Sydney, NSW, Australia., Holt X; Annalise.ai, Sydney, NSW, Australia., Bottrell GM; Annalise.ai, Sydney, NSW, Australia., Wardman JB; Annalise.ai, Sydney, NSW, Australia., Samarasinghe G; Annalise.ai, Sydney, NSW, Australia., Dos Santos Pinheiro L; Annalise.ai, Sydney, NSW, Australia., Xia H; Annalise.ai, Sydney, NSW, Australia., Ahmad HK; Annalise.ai, Sydney, NSW, Australia., Pham H; Annalise.ai, Sydney, NSW, Australia.; Department of Radiology, University Medical Center, University of Medicine and Pharmacy, Ho Chi Minh City, Vietnam., Chiang JI; Annalise.ai, Sydney, NSW, Australia.; Department of General Practice, University of Melbourne, Melbourne, VIC, Australia.; Westmead Applied Research Centre, University of Sydney, Sydney, NSW, Australia., Ektas N; Annalise.ai, Sydney, NSW, Australia., Milne MR; Annalise.ai, Sydney, NSW, Australia., Chiu CHY; Annalise.ai, Sydney, NSW, Australia., Hachey B; Annalise.ai, Sydney, NSW, Australia., Ryan MK; Annalise.ai, Sydney, NSW, Australia., Johnston BP; Annalise.ai, Sydney, NSW, Australia., Esmaili N; School of Medicine, University of Notre Dame Australia, Sydney, NSW, Australia.; Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia., Bennett C; School of Medicine, University of Notre Dame Australia, Sydney, NSW, Australia., Goldschlager T; Department of Neurosurgery, Monash Health, Clayton, VIC, Australia.; Department of Surgery, Monash University, Clayton, VIC, Australia., Hall J; Annalise.ai, Sydney, NSW, Australia.; Department of Radiology, St Vincent's Health Australia, Melbourne, VIC, Australia.; Department of Radiology, Austin Hospital, Melbourne, VIC, Australia., Vo DT; Department of Radiology, University Medical Center, University of Medicine and Pharmacy, Ho Chi Minh City, Vietnam., Oakden-Rayner L; Australian Institute for Machine Learning, The University of Adelaide, Adelaide, SA, Australia., Leveque JC; Center for Neurosciences and Spine, Virginia Mason Franciscan Health, Seattle, WA, USA., Farrokhi F; Center for Neurosciences and Spine, Virginia Mason Franciscan Health, Seattle, WA, USA., Abramson RG; Annalise.ai, Sydney, NSW, Australia., Jones CM; Annalise.ai, Sydney, NSW, Australia.; I-MED Radiology Network, Brisbane, QLD, Australia.; School of Public and Preventive Health, Monash University, Clayton, VIC, Australia.; Department of Clinical Imaging Science, University of Sydney, Sydney, NSW, Australia., Edelstein S; Annalise.ai, Sydney, NSW, Australia.; I-MED Radiology Network, Brisbane, QLD, Australia.; Department of Radiology, Monash Health, Clayton, VIC, Australia., Brotchie P; Annalise.ai, Sydney, NSW, Australia.; Department of Radiology, St Vincent's Health Australia, Melbourne, VIC, Australia.
Source: European radiology [Eur Radiol] 2024 Feb; Vol. 34 (2), pp. 810-822. Date of Electronic Publication: 2023 Aug 22.
Publication Type: Journal Article
Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1432-1084
DOI:10.1007/s00330-023-10074-8