Search Results - Andrew L. Beam
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Machine learning for patient risk stratification: standing on, or looking over, the shoulders of clinicians? by Brett K. Beaulieu-Jones, William Yuan, Gabriel A. Brat, Andrew L. Beam, Griffin Weber, Marshall Ruffin, Isaac S. Kohane
Published in npj Digital Medicine (2021-03-01)Get full text
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Development and validation of a deep learning model for diagnosing neuropathic corneal pain via in vivo confocal microscopy by Neslihan Dilruba Koseoglu, Eric Chen, Rudraksh Tuwani, Benjamin Kompa, Stephanie M. Cox, M. Cuneyt Ozmen, Mina Massaro-Giordano, Andrew L. Beam, Pedram Hamrah
Published in npj Digital Medicine (2025-05-01)Get full text
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Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intellig... by Gary S Collins, Lily Peng, Johannes B Reitsma, Lotty Hooft, Ben Van Calster, Jie Ma, Maarten van Smeden, Andrew L Beam, Constanza L Andaur Navarro, Paula Dhiman, Karel GM Moons, Patricia Logullo
Published in BMJ Open (2021-07-01)Get full text
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Concordance between gene expression in peripheral whole blood and colonic tissue in children with inflammatory bowel disease. by Nathan P Palmer, Jocelyn A Silvester, Jessica J Lee, Andrew L Beam, Inbar Fried, Vladimir I Valtchinov, Fedik Rahimov, Sek Won Kong, Saum Ghodoussipour, Helen C Hood, Athos Bousvaros, Richard J Grand, Louis M Kunkel, Isaac S Kohane
Published in PLoS ONE (2019-01-01)Get full text
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Author Correction: Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines by Alexander P. L. Martindale, Carrie D. Llewellyn, Richard O. de Visser, Benjamin Ng, Victoria Ngai, Aditya U. Kale, Lavinia Ferrante di Ruffano, Robert M. Golub, Gary S. Collins, David Moher, Melissa D. McCradden, Lauren Oakden-Rayner, Samantha Cruz Rivera, Melanie Calvert, Christopher J. Kelly, Cecilia S. Lee, Christopher Yau, An-Wen Chan, Pearse A. Keane, Andrew L. Beam, Alastair K. Denniston, Xiaoxuan Liu
Published in Nature Communications (2024-07-01)Get full text
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Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines by Alexander P. L. Martindale, Carrie D. Llewellyn, Richard O. de Visser, Benjamin Ng, Victoria Ngai, Aditya U. Kale, Lavinia Ferrante di Ruffano, Robert M. Golub, Gary S. Collins, David Moher, Melissa D. McCradden, Lauren Oakden-Rayner, Samantha Cruz Rivera, Melanie Calvert, Christopher J. Kelly, Cecilia S. Lee, Christopher Yau, An-Wen Chan, Pearse A. Keane, Andrew L. Beam, Alastair K. Denniston, Xiaoxuan Liu
Published in Nature Communications (2024-02-01)Get full text
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TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods: a Korean translation by Gary S. Collins, Karel G. M. Moons, Paula Dhiman, Richard D. Riley, Andrew L. Beam, Ben Van Calster, Marzyeh Ghassemi, Xiaoxuan Liu, Johannes B. Reitsma, Maarten van Smeden, Anne-Laure Boulesteix, Jennifer Catherine Camaradou, Leo Anthony Celi, Spiros Denaxas, Alastair K. Denniston, Ben Glocker, Robert M. Golub, Hugh Harvey, Georg Heinze, Michael M. Hoffman, André Pascal Kengne, Emily Lam, Naomi Lee, Elizabeth W. Loder, Lena Maier-Hein, Bilal A. Mateen, Melissa D. McCradden, Lauren Oakden-Rayner, Johan Ordish, Richard Parnell, Sherri Rose, Karandeep Singh, Laure Wynants, Patricia Logullo
Published in The Ewha Medical Journal (2025-07-01)Get full text
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