Deep learning COVID-19 detection bias: Accuracy through artificial intelligence

Detection of COVID-19 cases’ accuracy is posing a conundrum for scientists, physicians and policy makers. As of April 23, 2020, 2.7 million cases have been confirmed, over 190,000 people are dead, and about 750,000 people are reported recovered. Yet, there is no publicly available data on tests that could be missing infections. Complicating matters and furthering anxiety are specific instances of false negative tests. We developed a deep …