Item type:Journal Article,

AI in Medicine, Covid-19 and Springer Nature's Open Access Agreement

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Date

2020, 2020

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KI - Künstliche Intelligenz: Vol. 34, No. 2

Publisher

Springer

Abstract

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Sonntag, Daniel (2020): AI in Medicine, Covid-19 and Springer Nature's Open Access Agreement. KI - Künstliche Intelligenz: Vol. 34, No. 2. DOI: 10.1007/s13218-020-00661-y. Springer. PISSN: 1610-1987. pp. 123-125

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DOI

10.1007/s13218-020-00661-y

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http://dx.doi.org/10.1007/s13218-020-00661-y
 https://dl.gi.de/handle/20.500.12116/36283

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Künstliche Intelligenz 34(2) - Juni 2020

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Referenced By

Number of citations to item: 5

  • Jialin Liu, Siru Liu, Hailong Wei, Xi Yang (2020): Epidemiology, clinical characteristics of the first cases of COVID‐19, In: European Journal of Clinical Investigation 10(50), doi:10.1111/eci.13364
  • José Varela-Aldás, Jorge Buele, Santiago Guerrero-Núñez, Víctor H. Andaluz (2022): Mobile Manipulator for Hospital Care Using Firebase, In: Lecture Notes in Computer Science, doi:10.1007/978-3-031-17618-0_24
  • Mohammad-H. Tayarani N. (2021): Applications of artificial intelligence in battling against covid-19: A literature review, In: Chaos, Solitons & Fractals, doi:10.1016/j.chaos.2020.110338
  • Catherene Julie Aarthy C., Rajkumar N., V.P. Sriram, Badrinarayanan M.K., K. Bhavana Raj, Rajan Patel (2022): A novel framework for the automated healthcare disaster based on intellectual machine learning, In: World Journal of Engineering 5(20), doi:10.1108/wje-08-2021-0491
  • Waralak Vongdoiwang Siricharoen (2024): Applying AI and Ontologies to the Covid Pandemic, In: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, doi:10.1007/978-3-031-59462-5_8
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