COVID-19 Volumetric Quantification on Computer Tomography Using Computer Aided Diagnostics

COVID-19 Volumetric Quantification on Computer Tomography Using Computer Aided Diagnostics

The aim of the study is to asses the influence of computer aided diagnostic to the process of lung affection quantification on computer tomography in COVID-19 confirmed patients.

The lung involvement of COVID-19 patients has been showed to be correlated to clinical outcomes and became part of the clinical practice. Even though various scores can be used, the affection estimation is usually done on computer tomography, using radiologists's estimation skills which is a highly subjective process.

Artificial intelligence is a known objective constant and therefore a potential radiologist complement. This trial aims at studying the effect of using a computer aided diagnostic software integrated in the normal clinical practice of radiologists from Timisoara County Emergency Hospital. It uses the AI-PROBE analysis setup, which turns off the CAD outputs for randomly chosen 50% the cases (control) and then compares the radiological reports for differences between the two arms.

Inclusion Criteria:

• RT-PCR confirmed patients of COVID-19

Exclusion Criteria:

• 15 or lower