The AI system built by an MIT team can detect it with 97% accuracy. More interestingly, it's able to detect asymptomatic people 100% (sensitivity). The proposed model comprises 4 biomarkers (3 ResNet models and a Poisson mask). Each of them represents a hypothesis of the repository disease.
Caveat: More replication is needed. There are clinical trials ongoing in Mount Sinai and White Planes Hospitals in the US, Catalan Health Institute in Catalonia, Hospitales Civiles de Guadalajara in Mexico, and Ospedale Luigi Sacco in Italy.
Paper:
COVID-19 Artificial Intelligence Diagnosis using only Cough Recordings
https://ieeexplore.ieee.org/document/9208795
