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

Autor: 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.

Publikováno v: European radiology [Eur Radiol] 2024 Feb; Vol. 34 (2), pp. 810-822. Date of Electronic Publication: 2023 Aug 22.

Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study.

Autor: Seah JCY; Annalise.ai, Sydney, NSW, Australia; Department of Radiology, Alfred Health, Melbourne, VIC, Australia., Tang CHM; Annalise.ai, Sydney, NSW, Australia., Buchlak QD; Annalise.ai, Sydney, NSW, Australia. Electronic address: quinlan.buchlak1@my.nd.edu.au., Holt XG; Annalise.ai, Sydney, NSW, Australia., Wardman JB; Annalise.ai, Sydney, NSW, Australia., Aimoldin A; Annalise.ai, Sydney, NSW, Australia., Esmaili N; School of Medicine, University of Notre Dame Australia, Sydney, NSW, Australia; Faculty of Engineering and IT, University of Technology Sydney, Sydney, NSW, Australia., Ahmad H; Annalise.ai, Sydney, NSW, Australia., Pham H; Annalise.ai, Sydney, NSW, Australia., Lambert JF; Annalise.ai, Sydney, NSW, Australia., Hachey B; Annalise.ai, Sydney, NSW, Australia., Hogg SJF; Annalise.ai, Sydney, NSW, Australia., Johnston BP; Annalise.ai, Sydney, NSW, Australia., Bennett C; School of Medicine, University of Notre Dame Australia, Sydney, NSW, Australia., Oakden-Rayner L; Australian Institute for Machine Learning, The University of Adelaide, Adelaide, SA, Australia., Brotchie P; Annalise.ai, Sydney, NSW, Australia; Department of Radiology, St Vincent's Health Australia, Melbourne, VIC, Australia., Jones CM; I-MED Radiology Network, Brisbane, QLD, Australia.

Publikováno v: The Lancet. Digital health [Lancet Digit Health] 2021 Aug; Vol. 3 (8), pp. e496-e506. Date of Electronic Publication: 2021 Jul 01.