• 2 Posts
  • 5 Comments
Joined 3 years ago
cake
Cake day: August 15th, 2023

help-circle

  • Hmmm…

    As the article correctly states, machine learning (“AI” is a misnomer that has stuck imo) has been used successfully for decades in medicine.

    Machine learning is inherently about spotting patterns and inferring from them. The problem, I think, is two-fold:

    1. There are more “AI” products than ever, not all companies build it in responsibly and it’s difficult for regulators to keep up with them.

    The gutting of these regulatory agencies by the current US administration does not help ofc, but many of them were already severely undermanned.

    1. As AI is normalised, some doctors will put too much trust in these systems.

    This isn’t helped by the fact that the makers of these products are likely to exaggerate the capabilities of their products. This may be reflected in the products themselves, where they may not properly communicate the degree of certainty of a diagnosis / conclusion (e.g. “30% certainty this lesion is cancerous”)


  • It’s not particularly bad value for what they’re offering, which seems to be a component library and set of templates.

    For a comparison, the company I work for are paying over a £1000 / year for MUI-X, which is a set of paid React components. It’s cheaper and more efficient than paying someone at our company to maintain our own component library.

    Even a single engineer spending 10% of their time (as I used to) maintaining this stuff would cost the company over £5000 / year in manpower.