Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus(COVID-19) Detection

Can AI say how sure it is about COVID-19 on X-rays?

Scientists are teaching computers not just to spot signs of COVID-19 on chest images, but to tell how sure they are.
That little extra number, the uncertainty, can change everything — doctors can double-check cases where the machine is unsure, and move faster when it's confident.
Researchers used a common approach in image AI to let the model show its doubt, and found the times it reported low confidence often matched wrong answers.
This means a computer that admits I don't know helps build trust between humans and machines.
Detecting problems in a chest X-ray is hard, and a tool that flags doubt might reduce missed cases, and prevent needless worry.
It's not perfect, the system will still make mistakes, but adding a clear signal about confidence makes AI more useful in real hospitals.
People will start using these tools more when they can see how sure the machine is, and not feel like they must fully rely on AI alone.

Read article comprehensive review in Paperium.net:
Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus(COVID-19) Detection

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