A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis von Liu, Xiaoxuan, Faes, Livia, Kale, Aditya U, Wagner, Siegfried K, Fu, Dun Jack, Bruynseels, Alice, Mahendiran, Thushika, Moraes, Gabriella, Shamdas, Mohith, Kern, Christoph, Ledsam, Joseph R, Schmid, Martin K, Balaskas, Konstantinos, Topol, Eric J, Bachmann, Lucas M, Keane, Pearse A, Denniston, Alastair K

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Predicting sex from retinal fundus photographs using automated deep learning von Korot, Edward, Pontikos, Nikolas, Liu, Xiaoxuan, Wagner, Siegfried K., Faes, Livia, Huemer, Josef, Balaskas, Konstantinos, Denniston, Alastair K., Khawaja, Anthony, Keane, Pearse A.

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Optical coherence tomography in the 2020s—outside the eye clinic von Chopra, Reena, Wagner, Siegfried K., Keane, Pearse A.

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A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisability von Khan, Saad M, Liu, Xiaoxuan, Nath, Siddharth, Korot, Edward, Faes, Livia, Wagner, Siegfried K, Keane, Pearse A, Sebire, Neil J, Burton, Matthew J, Denniston, Alastair K

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Quantitative Analysis of OCT for Neovascular Age-Related Macular Degeneration Using Deep Learning von Moraes, Gabriella, Fu, Dun Jack, Wilson, Marc, Khalid, Hagar, Wagner, Siegfried K., Korot, Edward, Ferraz, Daniel, Faes, Livia, Kelly, Christopher J., Spitz, Terry, Patel, Praveen J., Balaskas, Konstantinos, Keenan, Tiarnan D.L., Keane, Pearse A., Chopra, Reena

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In search of determinants: gene expression during gonadal sex differentiation von Siegfried, K. R.

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The Impact of Postures and Moving Directions in Fire Evacuation in a Low-Visibility Environment von Yan, Jingjing, He, Gengen, Basiri, Anahid, Hancock, Craig, Yeboah, Siegfried K

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Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study von Faes, Livia, Wagner, Siegfried K, Fu, Dun Jack, Liu, Xiaoxuan, Korot, Edward, Ledsam, Joseph R, Back, Trevor, Chopra, Reena, Pontikos, Nikolas, Kern, Christoph, Moraes, Gabriella, Schmid, Martin K, Sim, Dawn, Balaskas, Konstantinos, Bachmann, Lucas M, Denniston, Alastair K, Keane, Pearse A

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Code-free deep learning for multi-modality medical image classification von Korot, Edward, Guan, Zeyu, Ferraz, Daniel, Wagner, Siegfried K., Zhang, Gongyu, Liu, Xiaoxuan, Faes, Livia, Pontikos, Nikolas, Finlayson, Samuel G., Khalid, Hagar, Moraes, Gabriella, Balaskas, Konstantinos, Denniston, Alastair K., Keane, Pearse A.

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Insights into Systemic Disease through Retinal Imaging-Based Oculomics von Wagner, Siegfried K, Fu, Dun Jack, Faes, Livia, Liu, Xiaoxuan, Huemer, Josef, Khalid, Hagar, Ferraz, Daniel, Korot, Edward, Kelly, Christopher, Balaskas, Konstantinos, Denniston, Alastair K, Keane, Pearse A

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Bidirectional Ca²⁺ signaling occurs between the endoplasmic reticulum and acidic organelles von Morgan, Anthony J, Davis, Lianne C, Wagner, Siegfried K T Y, Lewis, Alexander M, Parrington, John, Churchill, Grant C, Galione, Antony

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Comment on “Race distribution in non-arteritic anterior ischemic optic neuropathy” von Wagner, Siegfried K., Zhou, Yukun, O'byrne, Ciara, Khawaja, Anthony P., Petzold, Axel, Keane, Pearse A.

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A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies von Faes, Livia, Liu, Xiaoxuan, Wagner, Siegfried K, Fu, Dun Jack, Balaskas, Konstantinos, Sim, Dawn A, Bachmann, Lucas M, Keane, Pearse A, Denniston, Alastair K

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Phenotyping of retinal neovascularization in ischemic retinal vein occlusion using wide field OCT angiography von Huemer, Josef, Khalid, Hagar, Wagner, Siegfried K., Nicholson, Luke, Fu, Dun Jack, Sim, Dawn A., Patel, Praveen J., Balaskas, Konstantinos, Rajendram, Ranjan, Keane, Pearse A.

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Evaluating an automated machine learning model that predicts visual acuity outcomes in patients with neovascular age-related macular degeneration von Abbas, Abdallah, O’Byrne, Ciara, Fu, Dun Jack, Moraes, Gabriella, Balaskas, Konstantinos, Struyven, Robbert, Beqiri, Sara, Wagner, Siegfried K., Korot, Edward, Keane, Pearse A.

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Association Between Retinal Features From Multimodal Imaging and Schizophrenia von Wagner, Siegfried K, Cortina-Borja, Mario, Silverstein, Steven M, Zhou, Yukun, Romero-Bascones, David, Struyven, Robbert R, Trucco, Emanuele, Mookiah, Muthu R. K, MacGillivray, Tom, Hogg, Stephen, Liu, Timing, Williamson, Dominic J, Pontikos, Nikolas, Patel, Praveen J, Balaskas, Konstantinos, Alexander, Daniel C, Stuart, Kelsey V, Khawaja, Anthony P, Denniston, Alastair K, Rahi, Jugnoo S, Petzold, Axel, Keane, Pearse A

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Association between polygenic risk for schizophrenia and retinal morphology: A cross-sectional analysis of the United Kingdom Biobank von Blose, Brittany A., Silverstein, Steven M., Stuart, Kelsey V., Keane, Pearse A., Khawaja, Anthony P., Wagner, Siegfried K.

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An ethics assessment tool for artificial intelligence implementation in healthcare: CARE-AI von Ning, Yilin, Liu, Xiaoxuan, Collins, Gary S., Moons, Karel G. M., McCradden, Melissa, Ting, Daniel Shu Wei, Ong, Jasmine Chiat Ling, Goldstein, Benjamin Alan, Wagner, Siegfried K., Keane, Pearse A., Topol, Eric J., Liu, Nan

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Insights From Survival Analyses During 12 Years of Anti–Vascular Endothelial Growth Factor Therapy for Neovascular Age-Related Macular Degeneration von Fu, Dun Jack, Keenan, Tiarnan D, Faes, Livia, Lim, Ernest, Wagner, Siegfried K, Moraes, Gabriella, Huemer, Josef, Kern, Christoph, Patel, Praveen J, Balaskas, Konstantinos, Sim, Dawn A, Bunce, Catey, Stratton, Irene, Keane, Pearse A

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CF-Loss: Clinically-relevant feature optimised loss function for retinal multi-class vessel segmentation and vascular feature measurement von Zhou, Yukun, Xu, MouCheng, Hu, Yipeng, Blumberg, Stefano B., Zhao, An, Wagner, Siegfried K., Keane, Pearse A., Alexander, Daniel C.

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