The ecological footprint of medical AI

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Published inEuropean radiology Vol. 34; no. 2; pp. 1176 - 1178
Main Authors Truhn, Daniel, Müller-Franzes, Gustav, Kather, Jakob Nikolas
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2024
Springer Nature B.V
Subjects
Commentary
Diagnostic Radiology
Ecological footprint
Imaging
Internal Medicine
Interventional Radiology
Medicine
Medicine & Public Health
Neuroradiology
Radiology
Ultrasound
Online AccessGet full text

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Author Truhn, Daniel
Müller-Franzes, Gustav
Kather, Jakob Nikolas
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  organization: Department of Diagnostic and Interventional Radiology, University Hospital RWTH Aachen
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  surname: Müller-Franzes
  fullname: Müller-Franzes, Gustav
  organization: Department of Diagnostic and Interventional Radiology, University Hospital RWTH Aachen
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  givenname: Jakob Nikolas
  surname: Kather
  fullname: Kather, Jakob Nikolas
  organization: Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Department of Medicine I, University Hospital Dresden, Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg
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Cites_doi 10.1148/radiol.230441
10.1038/s41586-023-05881-4
10.1007/s00330-022-09151-1
10.1148/radiol.222223
10.1148/radiol.220510
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The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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SubjectTerms Commentary
Diagnostic Radiology
Ecological footprint
Imaging
Internal Medicine
Interventional Radiology
Medicine
Medicine & Public Health
Neuroradiology
Radiology
Ultrasound
Title The ecological footprint of medical AI
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