It started in Jeopardy and ended in loss. IBM's flagship AI Watson Health has 
been sold to venture capitalists for an undisclosed sum thought to be around a 
billion dollars, or a quarter of what the division cost IBM in acquisitions 
alone since it was spun off in 2015.

...

When clinical trials were published, Watson came up short every time. It didn't 
matter what field it was in, it consistently scored less well than human 
clinicians – sometimes under 50 per cent – and demonstrated some alarming blind 
spots in suggested treatments. Medical professionals had enough to worry about 
without babysitting a broken AI: it got dropped.

...

IBM's Watson Health failed at the time, like so much AL/ML, because it didn't 
know what the question was – ironic, since the game of Jeopardy at which it 
excelled is all about deducing questions from data. It wanted to automate the 
highest skilled aspects of healthcare, diagnosis and treatment, but the problem 
wasn't one of getting the most data and the best algorithm. Rather, the problem 
was one of meaning.

...

Fortunately, this sad case does not mean AI-based tools can't work in medicine, nor even 
that Watson Health won't do so, nor that AIs' evaluation and adoption has been slowed 
down. Ask the right questions, such as "why do some patients get readmitted" 
and can you spot them early?, and you get the right answers. AI in healthcare is being 
adopted, and it shows every sign of deserving its place.

...

https://www.theregister.com/2022/01/31/machine_learning_the_hard_way/


-- EN

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Prof. Enrico Nardelli
Dipartimento di Matematica - Universita' di Roma "Tor Vergata"
Via della Ricerca Scientifica snc - 00133 Roma
tel: +39 06 7259.4204    fax: +39 06 7259.4699
mobile: +39 335 590.2331     e-mail: narde...@mat.uniroma2.it
home page: http://www.mat.uniroma2.it/~nardelli
blog: http://www.ilfattoquotidiano.it/blog/enardelli/
      http://link-and-think.blogspot.it/
=====================================================================
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