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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Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension von Liu, Xiaoxuan, Rivera, Samantha Cruz, Moher, David, Calvert, Melanie J, Denniston, Alastair K, Ashrafian, Hutan, Beam, Andrew L, Chan, An-Wen, Collins, Gary S, Darzi, Ara, Deeks, Jonathan J, ElZarrad, M Khair, Espinoza, Cyrus, Esteva, Andre, Faes, Livia, Ferrante di Ruffano, Lavinia, Fletcher, John, Golub, Robert, Harvey, Hugh, Haug, Charlotte, Holmes, Christopher, Jonas, Adrian, Keane, Pearse A, Kelly, Christopher J, Lee, Aaron Y, Lee, Cecilia S, Manna, Elaine, Matcham, James, McCradden, Melissa, Monteiro, Joao, Mulrow, Cynthia, Oakden-Rayner, Luke, Paltoo, Dina, Panico, Maria Beatrice, Price, Gary, Rowley, Samuel, Savage, Richard, Sarkar, Rupa, Vollmer, Sebastian J, Yau, Christopher

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Epidemiology of Scleritis in the United Kingdom From 1997 to 2018: Population‐Based Analysis of 11 Million Patients and Association Between Scleritis and Infectious and Immune‐Medi... von Braithwaite, Tasanee, Adderley, Nicola J., Subramanian, Anuradhaa, Galloway, James, Kempen, John H., Gokhale, Krishna, Cope, Andrew P., Dick, Andrew D., Nirantharakumar, Krishnarajah, Denniston, Alastair K.

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Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI Extension von Rivera, Samantha Cruz, Liu, Xiaoxuan, Chan, An-Wen, Denniston, Alastair K, Calvert, Melanie J, Ashrafian, Hutan, Beam, Andrew L, Collins, Gary S, Darzi, Ara, Deeks, Jonathan J, ElZarrad, M Khair, Espinoza, Cyrus, Esteva, Andre, Faes, Livia, Ferrante di Ruffano, Lavinia, Fletcher, John, Golub, Robert, Harvey, Hugh, Haug, Charlotte, Holmes, Christopher, Jonas, Adrian, Keane, Pearse A, Kelly, Christopher J, Lee, Aaron Y, Lee, Cecilia S, Manna, Elaine, Matcham, James, McCradden, Melissa, Moher, David, Monteiro, Joao, Mulrow, Cynthia, Oakden-Rayner, Luke, Paltoo, Dina, Panico, Maria Beatrice, Price, Gary, Rowley, Samuel, Savage, Richard, Sarkar, Rupa, Vollmer, Sebastian J, Yau, Christopher

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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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Biomarkers and Surrogate Endpoints in Uveitis: The Impact of Quantitative Imaging von Denniston, Alastair K, Keane, Pearse A, Srivastava, Sunil K

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An overview of the clinical applications of optical coherence tomography angiography von Tan, A C S, Tan, G S, Denniston, A K, Keane, P A, Ang, M, Milea, D, Chakravarthy, U, Cheung, C M G

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Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol von Sounderajah, Viknesh, Ashrafian, Hutan, Golub, Robert M, Shetty, Shravya, De Fauw, Jeffrey, Hooft, Lotty, Moons, Karel, Collins, Gary, Moher, David, Bossuyt, Patrick M, Darzi, Ara, Karthikesalingam, Alan, Denniston, Alastair K, Mateen, Bilal Akhter, Ting, Daniel, Treanor, Darren, King, Dominic, Greaves, Felix, Godwin, Jonathan, Pearson-Stuttard, Jonathan, Harling, Leanne, McInnes, Matthew, Rifai, Nader, Tomasev, Nenad, Normahani, Pasha, Whiting, Penny, Aggarwal, Ravi, Vollmer, Sebastian, Markar, Sheraz R, Panch, Trishan, Liu, Xiaoxuan

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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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Healthcare professionals’ views on the most important outcomes for non-infectious uveitis of the posterior segment: A qualitative study von Tallouzi, Mohammad O, Moore, David J, Bucknall, Nicholas, Murray, Philip I, Calvert, Melanie J, Denniston, Alastair K, Mathers, Jonathan

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Tubulointerstitial nephritis and uveitis (TINU) syndrome: a systematic review of its epidemiology, demographics and risk factors von Okafor, Linda O, Hewins, Peter, Murray, Philip I, Denniston, Alastair K

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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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Visualizing the Choriocapillaris Under Drusen: Comparing 1050-nm Swept-Source Versus 840-nm Spectral-Domain Optical Coherence Tomography Angiography von Lane, Mark, Moult, Eric M, Novais, Eduardo A, Louzada, Ricardo N, Cole, Emily D, Lee, ByungKun, Husvogt, Lennart, Keane, Pearse A, Denniston, Alastair K, Witkin, André J, Baumal, Caroline R, Fujimoto, James G, Duker, Jay S, Waheed, Nadia K

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Retinal blood flow in critical illness and systemic disease: a review von Courtie, E., Veenith, T., Logan, A., Denniston, A. K., Blanch, R. J.

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Going on up to the SPIRIT in AI: will new reporting guidelines for clinical trials of AI interventions improve their rigour? von Wicks, Paul, Liu, Xiaoxuan, Denniston, Alastair K.

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Quantitative and qualitative assessment of anterior segment optical coherence tomography capture of disease state in childhood anterior uveitis von Etherton, Katie, Rahi, Jugnoo S, Petrushkin, Harry, Dick, Andrew D, Akbarali, Saira, Pattani, Reshma, Hau, Scott, Lacassagne, Sandrine, Liu, Xiaoxuan, Denniston, Alastair K, Solebo, Ameenat Lola

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Punctate inner choroidopathy: A review von Ahnood, Dana, BSc, MBBS, Madhusudhan, Savitha, FRCOphth, Tsaloumas, Marie D., FRCOphth, Waheed, Nadia K., MD, MPH, Keane, Pearse A., MD, FRCOphth, Denniston, Alastair K., PhD, MRCP, FRCOphth

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Stakeholder Perspectives of Clinical Artificial Intelligence Implementation: Systematic Review of Qualitative Evidence von Hogg, Henry David Jeffry, Al-Zubaidy, Mohaimen, Talks, James, Denniston, Alastair K, Kelly, Christopher J, Malawana, Johann, Papoutsi, Chrysanthi, Teare, Marion Dawn, Keane, Pearse A, Beyer, Fiona R, Maniatopoulos, Gregory

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Reporting guidelines for clinical trials of artificial intelligence interventions: the SPIRIT-AI and CONSORT-AI guidelines von Ibrahim, Hussein, Liu, Xiaoxuan, Rivera, Samantha Cruz, Moher, David, Chan, An-Wen, Sydes, Matthew R., Calvert, Melanie J., Denniston, Alastair K.

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