Google's AI boosts accuracy of lung cancer diagnosis, study shows - STAT
benzonit at GMAIL.COM
Tue May 21 02:44:48 UTC 2019
The question unanswered is the elephant in the room: so what?
Does this make a patient-oriented difference or only a disease-oriented one?
This may represent another cognitive error, lead time bias, or
"How To Make People Sick for Longer Times And Increase Profits"
E.g., say you have a tumor which grows from 1 to 5 cm in a year. It takes
another year for the tumor to grow from 5 to 10 cm.People die at 10 cm. By
changing the method of detection to a more sensitive one and finding the
tumor a year earlier, we appear to make a difference, but maybe not the one
The person may have a year of sickness added onto the front of their
disease and still die at 10 cm. It only appears you've doubled longevity.
Remember the Will Rogers' effect.
On Mon, May 20, 2019 at 6:19 PM HM Epstein <hmepstein at gmail.com> wrote:
> Stat reports that — in early testing — Google’s AI achieved more reliable
> lung cancer Dx vs. radiologists. “It detected 5% more cancers and cut
> false positives... by 11% from reviewing a single scan. It performed on par
> with the radiologists when prior images of patients were also included in
> the evaluation.”
> Website <http://hmepstein.com/> Twitter <https://twitter.com/hmepstein>
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