• kibiz0r@midwest.social
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    6 days ago

    In other words, an AI-supported radiologist should spend exactly the same amount of time considering your X-ray, and then see if the AI agrees with their judgment, and, if not, they should take a closer look. AI should make radiology more expensive, in order to make it more accurate.

    But that’s not the AI business model. AI pitchmen are explicit on this score: The purpose of AI, the source of its value, is its capacity to increase productivity, which is to say, it should allow workers to do more, which will allow their bosses to fire some of them, or get each one to do more work in the same time, or both. The entire investor case for AI is “companies will buy our products so they can do more with less.” It’s not “business custom­ers will buy our products so their products will cost more to make, but will be of higher quality.”

    Cory Doctorow: What Kind of Bubble is AI?

    • dance_ninja@lemmy.world
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      6 days ago

      AI tools like this should really be viewed as a calculator. Helpful for speeding up analysis, but you still require an expert to sign off.

    • Apytele@sh.itjust.works
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      6 days ago

      Very much so. As a nurse the AI components I like are things that bring my attention to critical results (and combinations of results) faster. So if my tech gets vitals and the blood pressure is low and the heart rate is high and they’re running a temperature, I want it to call both me and the rapid response nurse right away and we can all sort out whether it’s sepsis or not when we get to the room together. I DON’T want it to be making decisions for me. I just want some extra heads up here and there.

      • albert180@discuss.tchncs.de
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        5 days ago

        You don’t need AI for this and it’s probably Not using “AI”

        Also in other Countries there is No bullshit Separation between Nurses and “Techs”

        • KubeRoot@discuss.tchncs.de
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          5 days ago

          What they’re describing is the kind of thing where the “last-gen” iteration/definition of AI, as in pretrained neural networks, are very applicable - taking in various vitals as inputs and outputting a value for if it should be alarming. For simple things you don’t need any of that, but if you want to be detecting more subtle signs to give an early warning, it can be really difficult to manually write logic for that, while machine learning can potentially catch cases you didn’t even think of.

        • Apytele@sh.itjust.works
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          5 days ago

          Also in other Countries there is No bullshit Separation between Nurses and “Techs”

          do you want a sticker? ⭐

          • MutilationWave@lemmy.world
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            5 days ago

            Hey, do you want to go fuck yourself?

            I work in the hospital world and tele techs are working harder than nurses 99% of the time. So what job title do you have that makes you feel special? ⭐🖕⭐

            • albert180@discuss.tchncs.de
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              5 days ago

              In the Hospital World where I Work there are Nurses and Doctors delivering care. No need for thousand bullshit sub Jobs aimed at cutting wages and making Patient Care worse

    • fine_sandy_bottom@discuss.tchncs.de
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      6 days ago

      Ideally, yeah - people would review and decide first, then check if the AI opinion confers.

      We all know that’s just not how things go in a professional setting.

      Anyone, including me, is just going to skip to the end and see what the AI says, and consider whether it’s reasonable. Then spend the alotted time goofing off.

      Obviously this is not how things ought to be, but it’s how things have been every time some new tech improves productivity.