Of course not - COVID

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From the MIT Technology Review:

Hundreds of AI tools have been built to catch covid. None of them helped.
When covid-19 struck Europe in March 2020, hospitals were plunged into a health crisis that was still badly understood. “Doctors really didn’t have a clue how to manage these patients,” says Laure Wynants, an epidemiologist at Maastricht University in the Netherlands, who studies predictive tools.

But there was data coming out of China, which had a four-month head start in the race to beat the pandemic. If machine-learning algorithms could be trained on that data to help doctors understand what they were seeing and make decisions, it just might save lives. “I thought, ‘If there’s any time that AI could prove its usefulness, it’s now,’” says Wynants. “I had my hopes up.”

It never happened—but not for lack of effort. Research teams around the world stepped up to help. The AI community, in particular, rushed to develop software that many believed would allow hospitals to diagnose or triage patients faster, bringing much-needed support to the front lines—in theory.

In the end, many hundreds of predictive tools were developed. None of them made a real difference, and some were potentially harmful.

More at the site.  The article does not mention this but I am betting two things:

#1) - the failure was much worse than they are letting on and
#2) - the reason was GIGO - they were not getting honest input data

The "science" floating around was and still is corrupted by the political narrative. There are no clear numbers to be found without a lot of digging and reading between the lines.

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This page contains a single entry by DaveH published on August 1, 2021 4:50 PM.

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