Clinical outcomes associated with robotic and computer-navigated total knee arthroplasty: a machine learning-augmented systematic review

Autor: Buchlak, QD, Clair, J, Esmaili, N, Barmare, A, Chandrasekaran, S

BACKGROUND: Robotic (RTKA) and computer-navigated total knee arthroplasty (CNTKA) are increasingly replacing manual techniques in orthopaedic surgery. This systematic review compared clinical outcomes associated with RTKA and CNTKA and investigated t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______363::01881913d210a8708266c6527b2bdc7b
https://hdl.handle.net/10453/167841

Machine learning applications to clinical decision support in neurosurgery: an artificial intelligence augmented systematic review

Autor: Buchlak, QD, Esmaili, N, Leveque, JC, Farrokhi, F, Bennett, C, Piccardi, M, Sethi, RK

© 2019, Springer-Verlag GmbH Germany, part of Springer Nature. Machine learning (ML) involves algorithms learning patterns in large, complex datasets to predict and classify. Algorithms include neural networks (NN), logistic regression (LR), and sup

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______363::eb5d950e8f04d544283c87a829a02158
https://hdl.handle.net/10453/146515

Predicting Acoustic Hearing Preservation Following Cochlear Implant Surgery Using Machine Learning.

Autor: Zeitler DM; Neuroscience Institute, Virginia Mason Franciscan Health, Seattle, Washington, USA.; Department of Otolaryngology-Head Neck Surgery, Section of Otology/Neurotology, Virginia Mason Franciscan Health, Seattle, Washington, USA., Buchlak QD; School of Medicine, University of Notre Dame Australia, Sydney, New South Wales, Australia.; Department of Neurosurgery, Monash Health, Melbourne, Victoria, Australia., Ramasundara S; School of Medicine, University of Notre Dame Australia, Sydney, New South Wales, Australia., Farrokhi F; Neuroscience Institute, Virginia Mason Franciscan Health, Seattle, Washington, USA.; Department of Neurosurgery, Virginia Mason Franciscan Health, Seattle, Washington, USA., Esmaili N; School of Medicine, University of Notre Dame Australia, Sydney, New South Wales, Australia.; Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, New South Wales, Australia.

Publikováno v: The Laryngoscope [Laryngoscope] 2024 Feb; Vol. 134 (2), pp. 926-936. Date of Electronic Publication: 2023 Jul 14.

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.

Analysis of Line and Tube Detection Performance of a Chest X-ray Deep Learning Model to Evaluate Hidden Stratification.

Autor: Tang CHM; Annalise.ai, Sydney, NSW 2000, Australia.; Intensive Care Unit, Gosford Hospital, Sydney, NSW 2250, Australia., Seah JCY; Annalise.ai, Sydney, NSW 2000, Australia.; Department of Radiology, Alfred Health, Melbourne, VIC 3004, Australia., Ahmad HK; Annalise.ai, Sydney, NSW 2000, Australia., Milne MR; Annalise.ai, Sydney, NSW 2000, Australia., Wardman JB; Annalise.ai, Sydney, NSW 2000, Australia., Buchlak QD; Annalise.ai, Sydney, NSW 2000, Australia.; School of Medicine, The University of Notre Dame Australia, Sydney, NSW 2007, Australia.; Department of Neurosurgery, Monash Health, Melbourne, VIC 3168, Australia., Esmaili N; School of Medicine, The University of Notre Dame Australia, Sydney, NSW 2007, Australia.; Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW 2007, Australia., Lambert JF; Annalise.ai, Sydney, NSW 2000, Australia., Jones CM; Annalise.ai, Sydney, NSW 2000, Australia.; I-MED Radiology Network, Brisbane, QLD 4006, Australia.; School of Public and Preventive Health, Monash University, Clayton, VIC 3800, Australia.; Department of Clinical Imaging Science, University of Sydney, Sydney, NSW 2006, Australia.

Publikováno v: Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2023 Jul 09; Vol. 13 (14). Date of Electronic Publication: 2023 Jul 09.