AI Detects Covid-19 By Listening To Coughs (Paper Explained)

Asymptomatic people infected with Covid-19, by definition, they don't have any symptoms. We're not supposed to tell the difference between them and the healthy.

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

 0:00 - Intro 4:30 - Are the asymptomatics free of change 6:04 - COVID-19 cough dataset 7:41 - Model architecture 11:43 - Muscular degradation 13:13 - Vocal cords 14:46 - Sentiment 15:47 - Lungs and Respiratory Tract 19:48 - Results 22:18 - How many layers to fine-tune 25:33 - Explainable deep learning 28:12 - Summary

Paper: COVID-19 Artificial Intelligence Diagnosis using only Cough Recordings https://ieeexplore.ieee.org/document/9208795

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