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The purpose of this retrospective study was to evaluate whether initial chest X-ray (CXR) severity assessed by an AI system may have prognostic utility in patients with COVID-19. The authors determined, through AI- and radiologist-assessed disease severity scores on CXRs obtained on emergency department (ED) presentation, that they were independent and comparable predictors of adverse outcomes in patients with COVID-19.

Key points

  • AI system–based score ≥ 30 and a RALE score ≥ 12 at CXRs performed at ED presentation are independent and comparable predictors of death and/or ICU admission in COVID-19 patients.
  • Other independent predictors are older age, male sex, coronary artery disease, COPD, and neurodegenerative disease.
  • The comparable performance of the AI system in relation to a radiologist-assessed score in predicting adverse outcomes may represent a game-changer in resource-constrained settings.

Article: Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients

Authors: Junaid Mushtaq, Renato Pennella, Salvatore Lavalle, Anna Colarieti, Stephanie Steidler, Carlo M. A. Martinenghi, Diego Palumbo, Antonio Esposito, Patrizia Rovere-Querini, Moreno Tresoldi, Giovanni Landoni, Fabio Ciceri, Alberto Zangrillo & Francesco De Cobelli

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