Position paper on COVID-19 imaging and AI: From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

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Position paper on COVID-19 imaging and AI : From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare. / Greenspan, Hayit; Estepar, Raul San Jose; Niessen, Wiro J.; Siegel, Eliot; Nielsen, Mads.

I: Medical Image Analysis, Bind 66, 101800, 2020.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Greenspan, H, Estepar, RSJ, Niessen, WJ, Siegel, E & Nielsen, M 2020, 'Position paper on COVID-19 imaging and AI: From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare', Medical Image Analysis, bind 66, 101800. https://doi.org/10.1016/j.media.2020.101800

APA

Greenspan, H., Estepar, R. S. J., Niessen, W. J., Siegel, E., & Nielsen, M. (2020). Position paper on COVID-19 imaging and AI: From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare. Medical Image Analysis, 66, [101800]. https://doi.org/10.1016/j.media.2020.101800

Vancouver

Greenspan H, Estepar RSJ, Niessen WJ, Siegel E, Nielsen M. Position paper on COVID-19 imaging and AI: From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare. Medical Image Analysis. 2020;66. 101800. https://doi.org/10.1016/j.media.2020.101800

Author

Greenspan, Hayit ; Estepar, Raul San Jose ; Niessen, Wiro J. ; Siegel, Eliot ; Nielsen, Mads. / Position paper on COVID-19 imaging and AI : From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare. I: Medical Image Analysis. 2020 ; Bind 66.

Bibtex

@article{cd7030c5b094439db8307f8868941cf9,
title = "Position paper on COVID-19 imaging and AI: From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare",
abstract = "In this position paper, we provide a collection of views on the role of AI in the COVID-19 pandemic, from clinical requirements to the design of AI-based systems, to the translation of the developed tools to the clinic. We highlight key factors in designing system solutions - per specific task; as well as design issues in managing the disease at the national level. We focus on three specific use-cases for which AI systems can be built: early disease detection, management in a hospital setting, and building patient-specific predictive models that require the combination of imaging with additional clinical data. Infrastructure considerations and population modeling in two European countries will be described. This pandemic has made the practical and scientific challenges of making AI solutions very explicit. A discussion concludes this paper, with a list of challenges facing the community in the AI road ahead. (C) 2020 Elsevier B.V. All rights reserved.",
keywords = "COVID-19, Imaging, AI",
author = "Hayit Greenspan and Estepar, {Raul San Jose} and Niessen, {Wiro J.} and Eliot Siegel and Mads Nielsen",
year = "2020",
doi = "10.1016/j.media.2020.101800",
language = "English",
volume = "66",
journal = "Medical Image Analysis",
issn = "1361-8415",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Position paper on COVID-19 imaging and AI

T2 - From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare

AU - Greenspan, Hayit

AU - Estepar, Raul San Jose

AU - Niessen, Wiro J.

AU - Siegel, Eliot

AU - Nielsen, Mads

PY - 2020

Y1 - 2020

N2 - In this position paper, we provide a collection of views on the role of AI in the COVID-19 pandemic, from clinical requirements to the design of AI-based systems, to the translation of the developed tools to the clinic. We highlight key factors in designing system solutions - per specific task; as well as design issues in managing the disease at the national level. We focus on three specific use-cases for which AI systems can be built: early disease detection, management in a hospital setting, and building patient-specific predictive models that require the combination of imaging with additional clinical data. Infrastructure considerations and population modeling in two European countries will be described. This pandemic has made the practical and scientific challenges of making AI solutions very explicit. A discussion concludes this paper, with a list of challenges facing the community in the AI road ahead. (C) 2020 Elsevier B.V. All rights reserved.

AB - In this position paper, we provide a collection of views on the role of AI in the COVID-19 pandemic, from clinical requirements to the design of AI-based systems, to the translation of the developed tools to the clinic. We highlight key factors in designing system solutions - per specific task; as well as design issues in managing the disease at the national level. We focus on three specific use-cases for which AI systems can be built: early disease detection, management in a hospital setting, and building patient-specific predictive models that require the combination of imaging with additional clinical data. Infrastructure considerations and population modeling in two European countries will be described. This pandemic has made the practical and scientific challenges of making AI solutions very explicit. A discussion concludes this paper, with a list of challenges facing the community in the AI road ahead. (C) 2020 Elsevier B.V. All rights reserved.

KW - COVID-19

KW - Imaging

KW - AI

U2 - 10.1016/j.media.2020.101800

DO - 10.1016/j.media.2020.101800

M3 - Journal article

C2 - 32890777

VL - 66

JO - Medical Image Analysis

JF - Medical Image Analysis

SN - 1361-8415

M1 - 101800

ER -

ID: 255553022