  The COVID-19 pandemic continues to have a devastating effect on the health
and well-being of the global population. Apart from the global health crises,
the pandemic has also caused significant economic and financial difficulties
and socio-physiological implications. Effective screening, triage, treatment
planning, and prognostication of outcome plays a key role in controlling the
pandemic. Recent studies have highlighted the role of point-of-care ultrasound
imaging for COVID-19 screening and prognosis, particularly given that it is
non-invasive, globally available, and easy-to-sanitize. Motivated by these
attributes and the promise of artificial intelligence tools to aid clinicians,
we introduce COVIDx-US, an open-access benchmark dataset of COVID-19 related
ultrasound imaging data. The COVIDx-US dataset was curated from multiple
sources and its current version, i.e., v1.2., consists of 150 lung ultrasound
videos and 12,943 processed images of patients infected with COVID-19
infection, non-COVID-19 infection, other lung diseases/conditions, as well as
normal control cases. The COVIDx-US is the largest open-access fully-curated
dataset of its kind that has been systematically curated, processed, and
validated specifically for the purpose of building and evaluating artificial
intelligence algorithms and models.
