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    KI verkürzt die MRT-Untersuchungszeit im Amsterdamer Krebszentrum von 23 auf 9 Minuten

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    19 Kommentare

    1. VaginalProfessor on

      What kind of AI are they using? The article does not seem to mention whether it is llm or something else. Though I would replace my general doctor with an llm any day now if I could, at least the llm would give me more than 5 minutes to explain what’s wrong. 

    2. Cramit845 on

      As someone who works in radiology IT, I can confirm AI is being used more and more for sure. However in the states, I haven’t seen a single implementation where its just AI.

      Unfortunately the main issue is we are in a radiologist shortage cause everyone heard for years that AI will replace the rads and that’s just not the case.

    3. Striking_Display8886 on

      This is an AI article. It’s not real. The link loops itself. Don’t trust slop people!!!!

    5. MartCous on

      This is a good thing and makes sense. They are probably using a specially trained AI model that’s seen thousands of scans of healthy and unhealthy brains and can detect minor differences that the human eye can’t see. This means they can get by with lower resolution images, hence scans can be shorter.

    6. Daripuff on

      Analytic AI = Good, fine, useful. Where the tool is doing what it was made to do, and where it actually shines.

      Analytic AI != LLM „Personalities“ or any other form of predictive generative AI that most people know as „AI“.

    7. NiceSatisfaction7870 on

      I think this is just a beginning. Recently, AI has been making huge strides in healthcare – cutting MRI scan times is just one example. As it gets more integrated into diagnostics and imaging, we’ll likely see even faster and more accurate results across the board. Exciting times ahead.

    8. dev_vvvvv on

      One of the shittier things about the ChatGPT/LLM boom is that the term AI has become a buzzword, where everything under AI gets called AI (for funding/press purposes) but the layman (and layCEO) reads AI and thinks „ChatGPT“.

      So instead of reading this article and thinking „Wow, machine learning is amazing! I should learn more about statistics!“, the layman thinks „Wow, AI is amazing! We should invest billions of dollars putting AI into our toaster.“

    9. murderball89 on

      Where’s all the anti ai morons? I want to see them try and tear advancements for cancer relations apart because of their black and white ideological virtues.

    12. thatturtletouch on

      If the results are actually accurate, then this is great and this is exactly the kind of thing AI should be used for.

    13. JustFinishedBSG on

      MRI have always used « AI », it’s inherently a machine learning problem ( specifically an inverse problem ).

      It’s the case for every imaging technique ever ( even digital photography ! ) but MRI do not make images like people imagine; as in they don’t actually « see » the image the radiologist / technician ends ups with.
      Instead they just observe some very sparse signal/response from their input and reconstruct what they *think* the structure that generated them looks like.

      In a way the image you get from an MRI is entirely *guessed* by the algorithm. ( just a very very good guess grounded in data and models )

    14. Actual-Outcome3955 on

      This is great news. The group at this institution are leaders in MRI analysis and honest with what is and isn’t possible. If they say it is possible, I am sure it will be standard worldwide in short order as all manufacturers will be scrambling to license their algorithm.

      I’m a cancer surgeon and have met several of them previously, worked on related projects but not on this.

    16. jackatman on

       A bespoke ai as a technique to do pattern recocgnition the on images, NOT an LLM let loose on data. 

    19. TorqueAndTreetops on

      Honestly. I feel like this is what Good AI implementation is supposed to be about. Shortening certain times in research and development and or improving efficiency and offloading the more tedious tasks to AI

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