The collection of cases was acquired at Stony Brook University from patients who tested positive for COVID-19. The  collection

includes images from different modalities and organ sites (chest radiographs, chest CTs, brain MRIs, etc.). Radiology imaging

data is extremely important in COVID-19 from both a diagnostic and a monitoring perspective, given the crucial nature of

COVID-19 pulmonary disease and its rapid phenotypic changes. The datasets are available for building AI systems for

diagnostic and prognostic modeling. This collection also includes linked clinical data for each patient. The clinical data

consists of diagnoses, procedures, lab tests, covid19 specific data values (e.g., intubation status, symptoms at admission)

and a set of derived data elements, which were used in analyses of this data. The clinical data is stored as a set of csv files

which comply with OMOP Common Data Model data elements.    7/29/21 Waiting on photo caption.