BENDR: Using Transformers and a Contrastive Self-Supervised Learning Task to Learn From Massive Amounts of EEG Data by Demetres Kostas, Demetres Kostas, Stéphane Aroca-Ouellette, Stéphane Aroca-Ouellette, Frank Rudzicz, Frank Rudzicz, Frank Rudzicz

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Contextualizing the tone of the operating room in practice: drawing on the literature to connect the dots by Hillary Lia, Hillary Lia, Hillary Lia, Melanie Hammond Mobilio, Melanie Hammond Mobilio, Frank Rudzicz, Frank Rudzicz, Frank Rudzicz, Frank Rudzicz, Carol-anne Moulton, Carol-anne Moulton, Carol-anne Moulton

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Predicting the target specialty of referral notes to estimate per-specialty wait times with machine learning by Mohamed Abdalla, Hong Lu, Bogdan Pinzaru, Frank Rudzicz, Liisa Jaakkimainen

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Predicting the target specialty of referral notes to estimate per-specialty wait times with machine learning. by Mohamed Abdalla, Hong Lu, Bogdan Pinzaru, Frank Rudzicz, Liisa Jaakkimainen

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Using Biomedical Text as Data and Representation Learning for Identifying Patients with an Osteoarthritis Phenotype in the Electronic Medical Record by Christopher Meaney, Jessica Widdifield, Liisa Jaakkimainen, Michael Escobar, Frank Rudzicz, Karen Tu

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Exploring the Use of Natural Language Processing for Objective Assessment of Disorganized Speech in Schizophrenia by Lydia Jeong, Melissa Lee, Ben Eyre, Aparna Balagopalan, Frank Rudzicz, Cedric Gabilondo

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Learning Unsupervised Representations from Biomedical Text by Christopher Meaney, Karen Tu, Liisa Jaakkimainen, Michael Escobar, Frank Rudzicz, Jessica Widdifield

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Identifying and Avoiding Confusion in Dialogue with People with Alzheimer's Disease by Hamidreza Chinaei, Leila Chan Currie, Andrew Danks, Hubert Lin, Tejas Mehta, Frank Rudzicz

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Evaluation of Speech-Based Digital Biomarkers: Review and Recommendations by Jessica Robin, John E. Harrison, Liam D. Kaufman, Frank Rudzicz, William Simpson, Maria Yancheva

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Improving estimates of pertussis burden in Ontario, Canada 2010-2017 by combining validation and capture-recapture methodologies. by Shilo H McBurney, Jeffrey C Kwong, Kevin A Brown, Frank Rudzicz, Andrew Wilton, Natasha S Crowcroft

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Improving estimates of pertussis burden in Ontario, Canada 2010–2017 by combining validation and capture-recapture methodologies by Shilo H. McBurney, Jeffrey C. Kwong, Kevin A. Brown, Frank Rudzicz, Andrew Wilton, Natasha S. Crowcroft

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Data Science as a Core Competency in Undergraduate Medical Education in the Age of Artificial Intelligence in Health Care by Puneet Seth, Nancy Hueppchen, Steven D Miller, Frank Rudzicz, Jerry Ding, Kapil Parakh, Janet D Record

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Validating pertussis data measures using electronic medical record data in Ontario, Canada 1986–2016 by Shilo H. McBurney, Jeffrey C. Kwong, Kevin A. Brown, Frank Rudzicz, Branson Chen, Elisa Candido, Natasha S. Crowcroft

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Regional brain morphology predicts pain relief in trigeminal neuralgia by Peter Shih-Ping Hung, Alborz Noorani, Jia Y. Zhang, Sarasa Tohyama, Normand Laperriere, Karen D. Davis, David J. Mikulis, Frank Rudzicz, Mojgan Hodaie

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Brain imaging signatures of neuropathic facial pain derived by artificial intelligence by Timur H. Latypov, Matthew C. So, Peter Shih-Ping Hung, Pascale Tsai, Matthew R. Walker, Sarasa Tohyama, Marina Tawfik, Frank Rudzicz, Mojgan Hodaie

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A Delphi consensus statement for digital surgery by Kyle Lam, Michael D. Abràmoff, José M. Balibrea, Steven M. Bishop, Richard R. Brady, Rachael A. Callcut, Manish Chand, Justin W. Collins, Markus K. Diener, Matthias Eisenmann, Kelly Fermont, Manoel Galvao Neto, Gregory D. Hager, Robert J. Hinchliffe, Alan Horgan, Pierre Jannin, Alexander Langerman, Kartik Logishetty, Amit Mahadik, Lena Maier-Hein, Esteban Martín Antona, Pietro Mascagni, Ryan K. Mathew, Beat P. Müller-Stich, Thomas Neumuth, Felix Nickel, Adrian Park, Gianluca Pellino, Frank Rudzicz, Sam Shah, Mark Slack, Myles J. Smith, Naeem Soomro, Stefanie Speidel, Danail Stoyanov, Henry S. Tilney, Martin Wagner, Ara Darzi, James M. Kinross, Sanjay Purkayastha

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