Precision Radiology: Predicting longevity using feature engineering and deep learning methods in a radiomics framework

por Oakden-Rayner, Luke, Carneiro, Gustavo, Bessen, Taryn, Nascimento, Jacinto C., Bradley, Andrew P., Palmer, Lyle J.
Publicado 2017

Chest radiographs and machine learning – Past, present and future

por Jones, Catherine M, Buchlak, Quinlan D, Oakden‐Rayner, Luke, Milne, Michael, Seah, Jarrel, Esmaili, Nazanin, Hachey, Ben
Publicado 2021

Assessment of the effect of a comprehensive chest radiograph deep learning model on radiologist reports and patient outcomes: a real-world observational study

por Jones, Catherine M, Danaher, Luke, Milne, Michael R, Tang, Cyril, Seah, Jarrel, Oakden-Rayner, Luke, Johnson, Andrew, Buchlak, Quinlan D, Esmaili, Nazanin
Publicado 2021

Deep learning predicts hip fracture using confounding patient and healthcare variables

por Badgeley, Marcus A., Zech, John R., Oakden-Rayner, Luke, Glicksberg, Benjamin S., Liu, Manway, Gale, William, McConnell, Michael V., Percha, Bethany, Snyder, Thomas M., Dudley, Joel T.
Publicado 2019

Do comprehensive deep learning algorithms suffer from hidden stratification? A retrospective study on pneumothorax detection in chest radiography

por Seah, Jarrel, Tang, Cyril, Buchlak, Quinlan D, Milne, Michael Robert, Holt, Xavier, Ahmad, Hassan, Lambert, John, Esmaili, Nazanin, Oakden-Rayner, Luke, Brotchie, Peter, Jones, Catherine M
Publicado 2021

A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology

por Scheetz, Jane, Rothschild, Philip, McGuinness, Myra, Hadoux, Xavier, Soyer, H. Peter, Janda, Monika, Condon, James J.J., Oakden-Rayner, Luke, Palmer, Lyle J., Keel, Stuart, van Wijngaarden, Peter
Publicado 2021

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension

por 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
Publicado 2020

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI Extension

por 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
Publicado 2020