Deep learning-enabled medical computer vision

Abstract A decade of unprecedented progress in artificial intelligence (AI) has demonstrated the potential for many fields—including medicine—to benefit from the insights that AI techniques can extract from data. Here we survey recent progress in the development of modern computer vision techniques—...

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Autores principales:	Andre Esteva, Katherine Chou, Serena Yeung, Nikhil Naik, Ali Madani, Ali Mottaghi, Yun Liu, Eric Topol, Jeff Dean, Richard Socher
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/6f80c76bdd254d5f86373d47c51e01fc
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id	oai:doaj.org-article:6f80c76bdd254d5f86373d47c51e01fc
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spelling	oai:doaj.org-article:6f80c76bdd254d5f86373d47c51e01fc2021-12-02T14:24:01ZDeep learning-enabled medical computer vision10.1038/s41746-020-00376-22398-6352https://doaj.org/article/6f80c76bdd254d5f86373d47c51e01fc2021-01-01T00:00:00Zhttps://doi.org/10.1038/s41746-020-00376-2https://doaj.org/toc/2398-6352Abstract A decade of unprecedented progress in artificial intelligence (AI) has demonstrated the potential for many fields—including medicine—to benefit from the insights that AI techniques can extract from data. Here we survey recent progress in the development of modern computer vision techniques—powered by deep learning—for medical applications, focusing on medical imaging, medical video, and clinical deployment. We start by briefly summarizing a decade of progress in convolutional neural networks, including the vision tasks they enable, in the context of healthcare. Next, we discuss several example medical imaging applications that stand to benefit—including cardiology, pathology, dermatology, ophthalmology–and propose new avenues for continued work. We then expand into general medical video, highlighting ways in which clinical workflows can integrate computer vision to enhance care. Finally, we discuss the challenges and hurdles required for real-world clinical deployment of these technologies.Andre EstevaKatherine ChouSerena YeungNikhil NaikAli MadaniAli MottaghiYun LiuEric TopolJeff DeanRichard SocherNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 4, Iss 1, Pp 1-9 (2021)
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 Andre Esteva Katherine Chou Serena Yeung Nikhil Naik Ali Madani Ali Mottaghi Yun Liu Eric Topol Jeff Dean Richard Socher Deep learning-enabled medical computer vision
description	Abstract A decade of unprecedented progress in artificial intelligence (AI) has demonstrated the potential for many fields—including medicine—to benefit from the insights that AI techniques can extract from data. Here we survey recent progress in the development of modern computer vision techniques—powered by deep learning—for medical applications, focusing on medical imaging, medical video, and clinical deployment. We start by briefly summarizing a decade of progress in convolutional neural networks, including the vision tasks they enable, in the context of healthcare. Next, we discuss several example medical imaging applications that stand to benefit—including cardiology, pathology, dermatology, ophthalmology–and propose new avenues for continued work. We then expand into general medical video, highlighting ways in which clinical workflows can integrate computer vision to enhance care. Finally, we discuss the challenges and hurdles required for real-world clinical deployment of these technologies.
format	article
author	Andre Esteva Katherine Chou Serena Yeung Nikhil Naik Ali Madani Ali Mottaghi Yun Liu Eric Topol Jeff Dean Richard Socher
author_facet	Andre Esteva Katherine Chou Serena Yeung Nikhil Naik Ali Madani Ali Mottaghi Yun Liu Eric Topol Jeff Dean Richard Socher
author_sort	Andre Esteva
title	Deep learning-enabled medical computer vision
title_short	Deep learning-enabled medical computer vision
title_full	Deep learning-enabled medical computer vision
title_fullStr	Deep learning-enabled medical computer vision
title_full_unstemmed	Deep learning-enabled medical computer vision
title_sort	deep learning-enabled medical computer vision
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/6f80c76bdd254d5f86373d47c51e01fc
work_keys_str_mv	AT andreesteva deeplearningenabledmedicalcomputervision AT katherinechou deeplearningenabledmedicalcomputervision AT serenayeung deeplearningenabledmedicalcomputervision AT nikhilnaik deeplearningenabledmedicalcomputervision AT alimadani deeplearningenabledmedicalcomputervision AT alimottaghi deeplearningenabledmedicalcomputervision AT yunliu deeplearningenabledmedicalcomputervision AT erictopol deeplearningenabledmedicalcomputervision AT jeffdean deeplearningenabledmedicalcomputervision AT richardsocher deeplearningenabledmedicalcomputervision
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Deep learning-enabled medical computer vision

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