Under the assumption that AI has perfect accuracy. Perhaps you dodged the correct diagnosis and get to die 6 months later due to the lack of treatment. Might as well flip a coin.
Under the assumption that AI has perfect accuracy. Perhaps you dodged the correct diagnosis and get to die 6 months later due to the lack of treatment. Might as well flip a coin.
Doesn't have to be "perfect accuracy". It just has to beat the accuracy of the doctor you would have gone to otherwise.
Which is often a very, very low bar.
What do you call a doctor who was last in his class in medical school? A doctor.
> Doesn't have to be "perfect accuracy". It just has to beat the accuracy of the doctor you would have gone to otherwise.
They made an absolute statement claiming that AI will "at least" let them dodge false diagnosis, that implies a diagnostic false positive rate of ~0%. Otherwise how can you possibly be so confident that you "dodged" anything? You still need a second opinion (or third).
If a doctor diagnosed you with cancer and AI said that you're healthy, would you conclude that the diagnosis was false and skip treatment? It's easy to make frivolous statements like these when your life isn't on the line.
> What do you call a doctor who was last in his class in medical school? A doctor.
How original, they must've passed medical school, certification, and years of specialization by pure luck.
Do you ask to see every doctor's report card before deciding to go with the AI or do you just assume they're all idiots?
And what's the bar for people making machine learning algos? What do you call a random person off the street? A programmer.