Say what: AI can diagnose type 2 diabetes in 10 seconds from your voice
www.diabetes.co.uk
Researchers involved in a recent study trained an artificial intelligence (AI) model to diagnose type 2 diabetes in patients after six to 10 seconds of listening to their voice. Canadian medical researchers trained the machine-learning AI to recognise 14 vocal differences in the voice of someone with type 2 diabetes compared to someone without diabetes. […]
  • Pennomi@lemmy.worldEnglish
    322·
    11 months ago

    Uhhh, they trained their AI on only 18 women with diabetes? This can’t be done correctly.

    • AggressivelyPassive@feddit.de
      252·
      11 months ago

      It’s bullshit. It’s the typical mixture of overly ambitious scientists and clickbait driven media.

      Remember the 200 cures for cancer last year?

    • chepox@sopuli.xyz
      3·
      11 months ago

      Sample size is relevant as a proportion of the difference you are looking for.

      For example:

      Sample A: 1.1, 1.3, 1.5, 1.2, 1.1

      Sample B: 345.3, 323.4, 322.3, 355.2

      Determining a statistical difference between these two groups where a meaningful difference is 20%, does not require more samples. The chance of error on making a claim that A is less than B will be quite low.

      Not saying that N=18 in this case is sufficient, just stating that the number alone does not give you enough information to determine whether a claim has weight to it or not.

  • fred@lemmy.ml
    6·
    11 months ago

    Poorly phrased in the article if I understand correctly. It means it gave a correct positive diagnosis in patients who had already been diagnosed, with those percentages.