Following on from the article last week – Deep learning in biology and medicine – we discuss another sobering trend - according to some recent research shared on MIT technology review Hundreds of AI tools have been built to catch covid. None of them helped.
While we have been here before with Google’s flu trends episode, the article makes sobering reading
Some notes from the article
what went wrong?
And how do we bridge that gap
The article makes the usual suggestions – more data, more cooperation etc.
The article, although insightful, misses the point by asking the wrong question. The question asked is: Was AI useful in diagnosis of COVID on it’s own? But the better qs is: Did AI tools assist in diagnosing COVID?
If that question were considered – the responses would be a lot more useful and balanced
Also, as I said in a previous article, many technical solutions are possible for lack of data – for example Probabilistic Bayesian models
The MIT review article is HERE
Image source: wikipedia