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Application of artificial intelligence in diagnosing COVID-19 disease symptoms on chest X-rays: A systematic review.
Kufel, Jakub; Bargiel, Katarzyna; Kozlik, Maciej; Czogalik, Lukasz; Dudek, Piotr; Jaworski, Aleksander; Cebula, Maciej; Gruszczynska, Katarzyna.
Afiliación
  • Kufel J; Department of Biophysics, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Jordana 19, 41-808 Zabrze, Poland.
  • Bargiel K; Faculty of Medical Sciences in Katowice, Medical University of Silesia, 40-752 Katowice, Poland.
  • Kozlik M; Division of Cardiology and Structural Heart Disease, Medical University of Silesia, 40-635 Katowice, Poland.
  • Czogalik L; Professor Zbigniew Religa Student Scientific Association at the Department of Biophysics, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Jordana 19, 41-808 Zabrze, Poland.
  • Dudek P; Professor Zbigniew Religa Student Scientific Association at the Department of Biophysics, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Jordana 19, 41-808 Zabrze, Poland.
  • Jaworski A; Professor Zbigniew Religa Student Scientific Association at the Department of Biophysics, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Jordana 19, 41-808 Zabrze, Poland.
  • Cebula M; Department of Radiology and Nuclear Medicine, Faculty of Medical Sciences in Katowice, Medical University of Silesia, 40-754 Katowice, Poland.
  • Gruszczynska K; Department of Radiology and Nuclear Medicine, Faculty of Medical Sciences in Katowice, Medical University of Silesia, 40-754 Katowice, Poland.
Int J Med Sci ; 19(12): 1743-1752, 2022.
Article en En | MEDLINE | ID: mdl-36313227
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Diagnostic_studies / Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Int J Med Sci Asunto de la revista: MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: Polonia Pais de publicación: Australia
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Diagnostic_studies / Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Int J Med Sci Asunto de la revista: MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: Polonia Pais de publicación: Australia