Association of AI quantified COVID-19 chest CT and patient outcome.

Journal: International journal of computer assisted radiology and surgery
Published Date: Jan 23, 2021

Abstract

PURPOSE: Severity scoring is a key step in managing patients with COVID-19 pneumonia. However, manual quantitative analysis by radiologists is a time-consuming task, while qualitative evaluation may be fast but highly subjective. This study aims to develop artificial intelligence (AI)-based methods to quantify disease severity and predict COVID-19 patient outcome.

Authors

  • Xi Fang
    Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA.
  • Uwe Kruger
  • Fatemeh Homayounieh
  • Hanqing Chao
    Department of Biomedical Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA.
  • Jiajin Zhang
    Department of Biomedical Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA.
  • Subba R Digumarthy
    Massachusetts General Hospital, Department of Radiolgoy, United States.
  • Chiara D Arru
    Department of Radiology, Massachusetts General Hospitals, Harvard Medical School, Boston, MA, 02114, USA.
  • Mannudeep K Kalra
  • Pingkun Yan
    Philips Research North America, Briarcliff Manor, NY 10510, USA.

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