$Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs$
Código QR

Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs

Abstract Missed fractures are the most common diagnostic error in emergency departments and can lead to treatment delays and long-term disability. Here we show through a multi-site study that a deep-learning system can accurately identify fractures throughout the adult musculoskeletal system. This a...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Rebecca M. Jones, Anuj Sharma, Robert Hotchkiss, John W. Sperling, Jackson Hamburger, Christian Ledig, Robert O’Toole, Michael Gardner, Srivas Venkatesh, Matthew M. Roberts, Romain Sauvestre, Max Shatkhin, Anant Gupta, Sumit Chopra, Manickam Kumaravel, Aaron Daluiski, Will Plogger, Jason Nascone, Hollis G. Potter, Robert V. Lindsey
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/c02d45617a4140d6845b63adf3098c46
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:c02d45617a4140d6845b63adf3098c46
record_format	dspace
spelling	oai:doaj.org-article:c02d45617a4140d6845b63adf3098c462021-12-02T16:23:10ZAssessment of a deep-learning system for fracture detection in musculoskeletal radiographs10.1038/s41746-020-00352-w2398-6352https://doaj.org/article/c02d45617a4140d6845b63adf3098c462020-10-01T00:00:00Zhttps://doi.org/10.1038/s41746-020-00352-whttps://doaj.org/toc/2398-6352Abstract Missed fractures are the most common diagnostic error in emergency departments and can lead to treatment delays and long-term disability. Here we show through a multi-site study that a deep-learning system can accurately identify fractures throughout the adult musculoskeletal system. This approach may have the potential to reduce future diagnostic errors in radiograph interpretation.Rebecca M. JonesAnuj SharmaRobert HotchkissJohn W. SperlingJackson HamburgerChristian LedigRobert O’TooleMichael GardnerSrivas VenkateshMatthew M. RobertsRomain SauvestreMax ShatkhinAnant GuptaSumit ChopraManickam KumaravelAaron DaluiskiWill PloggerJason NasconeHollis G. PotterRobert V. LindseyNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 3, Iss 1, Pp 1-6 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 Rebecca M. Jones Anuj Sharma Robert Hotchkiss John W. Sperling Jackson Hamburger Christian Ledig Robert O’Toole Michael Gardner Srivas Venkatesh Matthew M. Roberts Romain Sauvestre Max Shatkhin Anant Gupta Sumit Chopra Manickam Kumaravel Aaron Daluiski Will Plogger Jason Nascone Hollis G. Potter Robert V. Lindsey Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs
description	Abstract Missed fractures are the most common diagnostic error in emergency departments and can lead to treatment delays and long-term disability. Here we show through a multi-site study that a deep-learning system can accurately identify fractures throughout the adult musculoskeletal system. This approach may have the potential to reduce future diagnostic errors in radiograph interpretation.
format	article
author	Rebecca M. Jones Anuj Sharma Robert Hotchkiss John W. Sperling Jackson Hamburger Christian Ledig Robert O’Toole Michael Gardner Srivas Venkatesh Matthew M. Roberts Romain Sauvestre Max Shatkhin Anant Gupta Sumit Chopra Manickam Kumaravel Aaron Daluiski Will Plogger Jason Nascone Hollis G. Potter Robert V. Lindsey
author_facet	Rebecca M. Jones Anuj Sharma Robert Hotchkiss John W. Sperling Jackson Hamburger Christian Ledig Robert O’Toole Michael Gardner Srivas Venkatesh Matthew M. Roberts Romain Sauvestre Max Shatkhin Anant Gupta Sumit Chopra Manickam Kumaravel Aaron Daluiski Will Plogger Jason Nascone Hollis G. Potter Robert V. Lindsey
author_sort	Rebecca M. Jones
title	Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs
title_short	Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs
title_full	Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs
title_fullStr	Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs
title_full_unstemmed	Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs
title_sort	assessment of a deep-learning system for fracture detection in musculoskeletal radiographs
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/c02d45617a4140d6845b63adf3098c46
work_keys_str_mv	AT rebeccamjones assessmentofadeeplearningsystemforfracturedetectioninmusculoskeletalradiographs AT anujsharma assessmentofadeeplearningsystemforfracturedetectioninmusculoskeletalradiographs AT roberthotchkiss assessmentofadeeplearningsystemforfracturedetectioninmusculoskeletalradiographs AT johnwsperling assessmentofadeeplearningsystemforfracturedetectioninmusculoskeletalradiographs AT jacksonhamburger assessmentofadeeplearningsystemforfracturedetectioninmusculoskeletalradiographs AT christianledig assessmentofadeeplearningsystemforfracturedetectioninmusculoskeletalradiographs AT robertotoole assessmentofadeeplearningsystemforfracturedetectioninmusculoskeletalradiographs AT michaelgardner assessmentofadeeplearningsystemforfracturedetectioninmusculoskeletalradiographs AT srivasvenkatesh assessmentofadeeplearningsystemforfracturedetectioninmusculoskeletalradiographs AT matthewmroberts assessmentofadeeplearningsystemforfracturedetectioninmusculoskeletalradiographs AT romainsauvestre assessmentofadeeplearningsystemforfracturedetectioninmusculoskeletalradiographs AT maxshatkhin assessmentofadeeplearningsystemforfracturedetectioninmusculoskeletalradiographs AT anantgupta assessmentofadeeplearningsystemforfracturedetectioninmusculoskeletalradiographs AT sumitchopra assessmentofadeeplearningsystemforfracturedetectioninmusculoskeletalradiographs AT manickamkumaravel assessmentofadeeplearningsystemforfracturedetectioninmusculoskeletalradiographs AT aarondaluiski assessmentofadeeplearningsystemforfracturedetectioninmusculoskeletalradiographs AT willplogger assessmentofadeeplearningsystemforfracturedetectioninmusculoskeletalradiographs AT jasonnascone assessmentofadeeplearningsystemforfracturedetectioninmusculoskeletalradiographs AT hollisgpotter assessmentofadeeplearningsystemforfracturedetectioninmusculoskeletalradiographs AT robertvlindsey assessmentofadeeplearningsystemforfracturedetectioninmusculoskeletalradiographs
_version_	1718384196894851072

Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs

Ejemplares similares