Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Alastair K Denniston, ProfPhD"'
Autor:
Xiaoxuan Liu, MBChB, Samantha Cruz Rivera, PhD, David Moher, PhD, Melanie J Calvert, ProfPhD, Alastair K Denniston, ProfPhD, Hutan Ashrafian, Andrew L Beam, An-Wen Chan, Gary S Collins, Ara DarziJonathan J Deeks, M Khair ElZarrad, Cyrus Espinoza, Andre Esteva, Livia Faes, Lavinia Ferrante di Ruffano, John Fletcher, Robert Golub, Hugh Harvey, Charlotte Haug, Christopher Holmes, Adrian Jonas, Pearse A Keane, Christopher J Kelly, Aaron Y Lee, Cecilia S Lee, Elaine Manna, James Matcham, Melissa McCradden, Joao Monteiro, Cynthia Mulrow, Luke Oakden-Rayner, Dina Paltoo, Maria Beatrice Panico, Gary Price, Samuel Rowley, Richard Savage, Rupa Sarkar, Sebastian J Vollmer, Christopher Yau
Publikováno v:
The Lancet: Digital Health, Vol 2, Iss 10, Pp e537-e548 (2020)
Summary: The CONSORT 2010 statement provides minimum guidelines for reporting randomised trials. Its widespread use has been instrumental in ensuring transparency in the evaluation of new interventions. More recently, there has been a growing recogni
Externí odkaz:
https://doaj.org/article/35cdeea7f8414dccbc73aed812fd7a9e
Autor:
Samantha Cruz Rivera, PhD, Xiaoxuan Liu, MBChB, An-Wen Chan, MD, Alastair K Denniston, ProfPhD, Melanie J Calvert, ProfPhD, Hutan Ashrafian, Andrew L Beam, Gary S Collins, Ara Darzi, Jonathan J Deeks, M Khair ElZarrad, Cyrus Espinoza, Andre Esteva, Livia Faes, Lavinia Ferrante di Ruffano, John Fletcher, Robert Golub, Hugh Harvey, Charlotte Haug, Christopher Holmes, Adrian Jonas, Pearse A Keane, Christopher J Kelly, Aaron Y Lee, Cecilia S Lee, Elaine Manna, James Matcham, Melissa McCradden, David Moher, Joao Monteiro, Cynthia Mulrow, Luke Oakden-Rayner, Dina Paltoo, Maria Beatrice Panico, Gary Price, Samuel Rowley, Richard Savage, Rupa Sarkar, Sebastian J Vollmer, Christopher Yau
Publikováno v:
The Lancet: Digital Health, Vol 2, Iss 10, Pp e549-e560 (2020)
Summary: The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol reporting by providing evidence-based recommendations for the minimum set of items to be addressed. This guidance has been instrumental in promoting transp
Externí odkaz:
https://doaj.org/article/be10f290c6a145a4b1d1ab837cb8746b
Autor:
Xiaoxuan Liu, MBChB, Livia Faes, MD, Aditya U Kale, MBChB, Siegfried K Wagner, BMBCh, Dun Jack Fu, PhD, Alice Bruynseels, MBChB, Thushika Mahendiran, MBChB, Gabriella Moraes, MD, Mohith Shamdas, MBBS, Christoph Kern, MD, Joseph R Ledsam, MBChB, Martin K Schmid, MD, Konstantinos Balaskas, MD, Eric J Topol, MD, Lucas M Bachmann, ProfPhD, Pearse A Keane, MD, Alastair K Denniston, ProfPhD
Publikováno v:
The Lancet: Digital Health, Vol 1, Iss 6, Pp e271-e297 (2019)
Summary: Background: Deep learning offers considerable promise for medical diagnostics. We aimed to evaluate the diagnostic accuracy of deep learning algorithms versus health-care professionals in classifying diseases using medical imaging. Methods:
Externí odkaz:
https://doaj.org/article/c73287f0c1f24d9abbb2cb81ce6add3e
Autor:
Livia Faes, MD, Siegfried K Wagner, BMBCh, Dun Jack Fu, PhD, Xiaoxuan Liu, MBChB, Edward Korot, MD, Joseph R Ledsam, MBChB, Trevor Back, PhD, Reena Chopra, BSc, Nikolas Pontikos, PhD, Christoph Kern, MD, Gabriella Moraes, MD, Martin K Schmid, ProfMD, Dawn Sim, PhD, Konstantinos Balaskas, MD, Lucas M Bachmann, ProfPhD, Alastair K Denniston, ProfPhD, Pearse A Keane, MD
Publikováno v:
The Lancet: Digital Health, Vol 1, Iss 5, Pp e232-e242 (2019)
Summary: Background: Deep learning has the potential to transform health care; however, substantial expertise is required to train such models. We sought to evaluate the utility of automated deep learning software to develop medical image diagnostic
Externí odkaz:
https://doaj.org/article/bf7d42d7b5cc43a4b5ccbf543a6ce8c8