Key challenges for delivering clinical impact with artificial intelligence von Kelly, Christopher J, Karthikesalingam, Alan, Suleyman, Mustafa, Corrado, Greg, King, Dominic

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Predicting conversion to wet age-related macular degeneration using deep learning von Yim, Jason, Chopra, Reena, Spitz, Terry, Winkens, Jim, Obika, Annette, Kelly, Christopher, Askham, Harry, Lukic, Marko, Huemer, Josef, Fasler, Katrin, Moraes, Gabriella, Meyer, Clemens, Wilson, Marc, Dixon, Jonathan, Hughes, Cian, Rees, Geraint, Khaw, Peng T., Karthikesalingam, Alan, King, Dominic, Hassabis, Demis, Suleyman, Mustafa, Back, Trevor, Ledsam, Joseph R., Keane, Pearse A., De Fauw, Jeffrey

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International evaluation of an AI system for breast cancer screening von McKinney, Scott Mayer, Sieniek, Marcin, Godbole, Varun, Godwin, Jonathan, Antropova, Natasha, Ashrafian, Hutan, Back, Trevor, Chesus, Mary, Corrado, Greg S., Darzi, Ara, Etemadi, Mozziyar, Garcia-Vicente, Florencia, Gilbert, Fiona J., Halling-Brown, Mark, Hassabis, Demis, Jansen, Sunny, Karthikesalingam, Alan, Kelly, Christopher J., King, Dominic, Ledsam, Joseph R., Melnick, David, Mostofi, Hormuz, Peng, Lily, Reicher, Joshua Jay, Romera-Paredes, Bernardino, Sidebottom, Richard, Suleyman, Mustafa, Tse, Daniel, Young, Kenneth C., De Fauw, Jeffrey, Shetty, Shravya

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A clinically applicable approach to continuous prediction of future acute kidney injury von Tomašev, Nenad, Glorot, Xavier, Rae, Jack W., Zielinski, Michal, Askham, Harry, Saraiva, Andre, Mottram, Anne, Meyer, Clemens, Ravuri, Suman, Protsyuk, Ivan, Connell, Alistair, Hughes, Cían O., Karthikesalingam, Alan, Cornebise, Julien, Montgomery, Hugh, Rees, Geraint, Laing, Chris, Baker, Clifton R., Peterson, Kelly, Reeves, Ruth, Hassabis, Demis, King, Dominic, Suleyman, Mustafa, Back, Trevor, Nielson, Christopher, Ledsam, Joseph R., Mohamed, Shakir

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Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records von Tomašev, Nenad, Harris, Natalie, Baur, Sebastien, Mottram, Anne, Glorot, Xavier, Rae, Jack W., Zielinski, Michal, Askham, Harry, Saraiva, Andre, Magliulo, Valerio, Meyer, Clemens, Ravuri, Suman, Protsyuk, Ivan, Connell, Alistair, Hughes, Cían O., Karthikesalingam, Alan, Cornebise, Julien, Montgomery, Hugh, Rees, Geraint, Laing, Chris, Baker, Clifton R., Osborne, Thomas F., Reeves, Ruth, Hassabis, Demis, King, Dominic, Suleyman, Mustafa, Back, Trevor, Nielson, Christopher, Seneviratne, Martin G., Ledsam, Joseph R., Mohamed, Shakir

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Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study von Nikolov, Stanislav, Blackwell, Sam, Zverovitch, Alexei, Mendes, Ruheena, Livne, Michelle, De Fauw, Jeffrey, Patel, Yojan, Meyer, Clemens, Askham, Harry, Romera-Paredes, Bernadino, Kelly, Christopher, Karthikesalingam, Alan, Chu, Carlton, Carnell, Dawn, Boon, Cheng, D'Souza, Derek, Moinuddin, Syed Ali, Garie, Bethany, McQuinlan, Yasmin, Ireland, Sarah, Hampton, Kiarna, Fuller, Krystle, Montgomery, Hugh, Rees, Geraint, Suleyman, Mustafa, Back, Trevor, Hughes, Cían Owen, Ledsam, Joseph R, Ronneberger, Olaf

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Evaluation of a digitally-enabled care pathway for acute kidney injury management in hospital emergency admissions von Connell, Alistair, Montgomery, Hugh, Martin, Peter, Nightingale, Claire, Sadeghi-Alavijeh, Omid, King, Dominic, Karthikesalingam, Alan, Hughes, Cian, Back, Trevor, Ayoub, Kareem, Suleyman, Mustafa, Jones, Gareth, Cross, Jennifer, Stanley, Sarah, Emerson, Mary, Merrick, Charles, Rees, Geraint, Laing, Chris, Raine, Rosalind

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VIRTUOUS TECHNOLOGY von Suleyman, Mustafa

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ETHICS: VIRTUOUS TECHNOLOGY von Suleyman, Mustafa

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Clinically applicable deep learning for diagnosis and referral in retinal disease von De Fauw, Jeffrey, Ledsam, Joseph R., Romera-Paredes, Bernardino, Nikolov, Stanislav, Tomasev, Nenad, Blackwell, Sam, Askham, Harry, Glorot, Xavier, O’Donoghue, Brendan, Visentin, Daniel, van den Driessche, George, Lakshminarayanan, Balaji, Meyer, Clemens, Mackinder, Faith, Bouton, Simon, Ayoub, Kareem, Chopra, Reena, King, Dominic, Karthikesalingam, Alan, Hughes, Cían O., Raine, Rosalind, Hughes, Julian, Sim, Dawn A., Egan, Catherine, Tufail, Adnan, Montgomery, Hugh, Hassabis, Demis, Rees, Geraint, Back, Trevor, Khaw, Peng T., Suleyman, Mustafa, Cornebise, Julien, Keane, Pearse A., Ronneberger, Olaf

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International evaluation of an AI system for breast cancer screening (vol 577, pg 89, 2020) von McKinney, Scott Mayer, Sieniek, Marcin, Godbole, Varun, Godwin, Jonathan, Antropova, Natasha, Ashrafian, Hutan, Back, Trevor, Chesus, Mary, Corrado, Greg S., Darzi, Ara, Etemadi, Mozziyar, Garcia-Vicente, Florencia, Gilbert, Fiona J., Halling-Brown, Mark, Hassabis, Demis, Jansen, Sunny, Karthikesalingam, Alan, Kelly, Christopher J., King, Dominic, Ledsam, Joseph R., Melnick, David, Mostofi, Hormuz, Peng, Lily, Reicher, Joshua Jay, Romera-Paredes, Bernardino, Sidebottom, Richard, Suleyman, Mustafa, Tse, Daniel, Young, Kenneth C., De Fauw, Jeffrey, Shetty, Shravya

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Implementation of a Digitally Enabled Care Pathway (Part 2): Qualitative Analysis of Experiences of Health Care Professionals von Connell, Alistair, Black, Georgia, Montgomery, Hugh, Martin, Peter, Nightingale, Claire, King, Dominic, Karthikesalingam, Alan, Hughes, Cían, Back, Trevor, Ayoub, Kareem, Suleyman, Mustafa, Jones, Gareth, Cross, Jennifer, Stanley, Sarah, Emerson, Mary, Merrick, Charles, Rees, Geraint, Laing, Christopher, Raine, Rosalind

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Building Blocks for AI Governance von Bremmer, Ian, Suleyman, Mustafa

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Implementation of a Digitally Enabled Care Pathway (Part 1): Impact on Clinical Outcomes and Associated Health Care Costs von Connell, Alistair, Raine, Rosalind, Martin, Peter, Barbosa, Estela Capelas, Morris, Stephen, Nightingale, Claire, Sadeghi-Alavijeh, Omid, King, Dominic, Karthikesalingam, Alan, Hughes, Cían, Back, Trevor, Ayoub, Kareem, Suleyman, Mustafa, Jones, Gareth, Cross, Jennifer, Stanley, Sarah, Emerson, Mary, Merrick, Charles, Rees, Geraint, Montgomery, Hugh, Laing, Christopher

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Predicting conversion to wet age-related macular degeneration using deep learning von Yim, Jason, Chopra, Reena, Spitz, Terry, Winkens, Jim, Obika, Annette, Kelly, Christopher, Askham, Harry, Lukic, Marko, Huemer, Josef, Fasler, Katrin, Moraes, Gabriella, Meyer, Clemens, Wilson, Marc, Dixon, Jonathan, Hughes, Cian, Rees, Geraint, Khaw, Peng T, Karthikesalingam, Alan, King, Dominic, Hassabis, Demis, Suleyman, Mustafa, Back, Trevor, Ledsam, Joseph R, Keane, Pearse A, De Fauw, Jeffrey

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Addendum: International evaluation of an AI system for breast cancer screening von McKinney, Scott Mayer, Sieniek, Marcin, Godbole, Varun, Godwin, Jonathan, Antropova, Natasha, Ashrafian, Hutan, Back, Trevor, Chesus, Mary, Corrado, Greg S., Darzi, Ara, Etemadi, Mozziyar, Garcia-Vicente, Florencia, Gilbert, Fiona J., Halling-Brown, Mark, Hassabis, Demis, Jansen, Sunny, Karthikesalingam, Alan, Kelly, Christopher J., King, Dominic, Ledsam, Joseph R., Melnick, David, Mostofi, Hormuz, Peng, Lily, Reicher, Joshua Jay, Romera-Paredes, Bernardino, Sidebottom, Richard, Suleyman, Mustafa, Tse, Daniel, Young, Kenneth C., De Fauw, Jeffrey, Shetty, Shravya

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Augmented recurrent neural network with external memory von Suleyman, Mustafa, Hermann, Karl Moritz, Grefenstette, Edward Thomas, Blunsom, Philip

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AUGMENTED RECURRENT NEURAL NETWORK WITH EXTERNAL MEMORY von Suleyman, Mustafa, Hermann, Karl Moritz, GREFENSTETTE, EDWARD THOMAS, Blunsom, Philip

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Augmented recurrent neural network with external memory von Suleyman, Mustafa, Hermann, Karl Moritz, Grefenstette, Edward Thomas, Blunsom, Philip

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Comparison of 45- degree Kelman and 45- degree balanced phaco tip designs in torsional microcoaxial phacoemulsification von Demircan, Süleyman, Ataş, Mustafa, Göktaş, Emre, Başkan, Burhan

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