Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams

Ultrasound is an important imaging modality for the detection and characterization of breast cancer, but it has been noted to have high false-positive rates. Here, the authors present an artificial intelligence system that achieves radiologist-level accuracy in identifying breast cancer in ultrasoun...

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Autores principales:	Yiqiu Shen, Farah E. Shamout, Jamie R. Oliver, Jan Witowski, Kawshik Kannan, Jungkyu Park, Nan Wu, Connor Huddleston, Stacey Wolfson, Alexandra Millet, Robin Ehrenpreis, Divya Awal, Cathy Tyma, Naziya Samreen, Yiming Gao, Chloe Chhor, Stacey Gandhi, Cindy Lee, Sheila Kumari-Subaiya, Cindy Leonard, Reyhan Mohammed, Christopher Moczulski, Jaime Altabet, James Babb, Alana Lewin, Beatriu Reig, Linda Moy, Laura Heacock, Krzysztof J. Geras
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/c9426dec81ff479488e813049d5bf81a
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spelling	oai:doaj.org-article:c9426dec81ff479488e813049d5bf81a2021-12-02T17:26:50ZArtificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams10.1038/s41467-021-26023-22041-1723https://doaj.org/article/c9426dec81ff479488e813049d5bf81a2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-26023-2https://doaj.org/toc/2041-1723Ultrasound is an important imaging modality for the detection and characterization of breast cancer, but it has been noted to have high false-positive rates. Here, the authors present an artificial intelligence system that achieves radiologist-level accuracy in identifying breast cancer in ultrasound imaging.Yiqiu ShenFarah E. ShamoutJamie R. OliverJan WitowskiKawshik KannanJungkyu ParkNan WuConnor HuddlestonStacey WolfsonAlexandra MilletRobin EhrenpreisDivya AwalCathy TymaNaziya SamreenYiming GaoChloe ChhorStacey GandhiCindy LeeSheila Kumari-SubaiyaCindy LeonardReyhan MohammedChristopher MoczulskiJaime AltabetJames BabbAlana LewinBeatriu ReigLinda MoyLaura HeacockKrzysztof J. GerasNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Yiqiu Shen Farah E. Shamout Jamie R. Oliver Jan Witowski Kawshik Kannan Jungkyu Park Nan Wu Connor Huddleston Stacey Wolfson Alexandra Millet Robin Ehrenpreis Divya Awal Cathy Tyma Naziya Samreen Yiming Gao Chloe Chhor Stacey Gandhi Cindy Lee Sheila Kumari-Subaiya Cindy Leonard Reyhan Mohammed Christopher Moczulski Jaime Altabet James Babb Alana Lewin Beatriu Reig Linda Moy Laura Heacock Krzysztof J. Geras Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams
description	Ultrasound is an important imaging modality for the detection and characterization of breast cancer, but it has been noted to have high false-positive rates. Here, the authors present an artificial intelligence system that achieves radiologist-level accuracy in identifying breast cancer in ultrasound imaging.
format	article
author	Yiqiu Shen Farah E. Shamout Jamie R. Oliver Jan Witowski Kawshik Kannan Jungkyu Park Nan Wu Connor Huddleston Stacey Wolfson Alexandra Millet Robin Ehrenpreis Divya Awal Cathy Tyma Naziya Samreen Yiming Gao Chloe Chhor Stacey Gandhi Cindy Lee Sheila Kumari-Subaiya Cindy Leonard Reyhan Mohammed Christopher Moczulski Jaime Altabet James Babb Alana Lewin Beatriu Reig Linda Moy Laura Heacock Krzysztof J. Geras
author_facet	Yiqiu Shen Farah E. Shamout Jamie R. Oliver Jan Witowski Kawshik Kannan Jungkyu Park Nan Wu Connor Huddleston Stacey Wolfson Alexandra Millet Robin Ehrenpreis Divya Awal Cathy Tyma Naziya Samreen Yiming Gao Chloe Chhor Stacey Gandhi Cindy Lee Sheila Kumari-Subaiya Cindy Leonard Reyhan Mohammed Christopher Moczulski Jaime Altabet James Babb Alana Lewin Beatriu Reig Linda Moy Laura Heacock Krzysztof J. Geras
author_sort	Yiqiu Shen
title	Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams
title_short	Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams
title_full	Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams
title_fullStr	Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams
title_full_unstemmed	Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams
title_sort	artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/c9426dec81ff479488e813049d5bf81a
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Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams

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