Original article can be found here (source): Artificial Intelligence on Medium
Come up with Novel Approaches to help
One thing that is causing a lot of concern is the lack of proper testing procedures. In the UK, for instance, the current advisory is to self isolate at minor symptoms of cold due to a shortage of tests. Also, due to this shortage of tests, a lot of numbers are not entirely reliable and may be false.
So I was just pleasantly surprised when I saw the blog from Adrian Rosebrock, where he tried to create an automatic COVID-19 detector using the COVID-19 X-ray image dataset (curated by Dr. Joseph Cohen) along with normal X-Ray Images from the Kaggle’s Chest X-Ray Images (Pneumonia) dataset.
As for the results, they seem promising:
As you can see from the results above, our automatic COVID-19 detector is obtaining ~90–92% accuracy on our sample dataset based solely on X-ray images — no other data, including geographical location, population density, etc. was used to train this model. We are also obtaining 100% sensitivity and 80% specificity
These results are awesome. A 100% sensitivity means to be able to capture all the Positives. You can check out the detailed post on pyimagesearch. A caveat he mentions is the lack of data, which is quite understandable at this point in time. But if this approach works and is worked upon with other variables at hand, it might help to detect corona.
Can we come up with other novel ways of helping those in need?