AI model forecasts disease risk decades in advance | EMBL
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New AI model can estimate the long-term risk of over 1,000 diseases and forecast human health changes over a decade in advance.

cross-posted from: https://programming.dev/post/37623211

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  • Researchers have developed an AI model that estimates long-term disease risk across more than 1,000 medical conditions
  • The model, trained and tested on anonymised medical data from the UK and Denmark, can forecast health outcomes over a decade in advance
  • While not ready for direct clinical use, the AI model offers new ways to study disease and inform healthcare strategies
  • unpossum@sh.itjust.worksEnglish
    3·
    2 days ago

    A systematic assessment on data from the UK Biobank not used for training showed that these calculated risks correspond well to the observed number of cases across age and sex groups.

    This, for instance, is a test.

    • shneancy@lemmy.worldEnglish
      1·
      2 days ago

      sure maybe it was tested with data already known to the researchers, but that’s not a real world test, that’s still a fully controlled environment. and the researchers, being human, aren’t perfect, the data about what the AI was meant to predict could’ve slipped into the training data. using historic data to predict slightly less historic data is a good first step, and it’s of course exciting! but we’re not done here

      nobody can read AI code after its been trained, so until all possibility of human error can be fully disspelled by continuous testing it in real time and having the AI actually predict events that come to be - it’s a could, not a can.