Virtual Imaging Trials Reveal Biases and Improve Reliability of AI Systems for COVID-19 Diagnosis

Virtual imaging trials can identify biases and improve the reliability of AI models for COVID-19 diagnosis by providing controlled, independent testing data and insights into the impact of patient and imaging factors on model performance.