National Nurses United has repeatedly warned about the use of AI in healthcare, saying it put both patients and nurses at risk. Healthcare giants are increasingly integrating it into patient care.

“Life-and-death decisions relating to patient acuity, treatment decisions, and staffing levels cannot be made without the assessment skills and critical thinking of registered nurses,” the union wrote in the post. “For example, tell-tale signs of a patient’s condition, such as the smell of a patient’s breath and their skin tone, affect, or demeanor, are often not detected by AI and algorithms.”

“Nurses are not against scientific or technological advancement, but we will not accept algorithms replacing the expertise, experience, holistic, and hands-on approach we bring to patient care,” they added.

    • QuadratureSurfer@lemmy.worldEnglish
      3·
      2 years ago

      I mostly agree with what you’ve said except for this:

      but what we’re calling “AI” today is basically just a spell-checker on steroids,

      That’s only somewhat true if you’re talking about LLMs like ChatGPT.

      AI itself has become a much broader term than it used to be. There are a lot of different kinds of AI out there. Generative AI like text generation (LLMs), image generation (upscaling, or creating images from scratch), or music generation (Suno). Computer Vision is another kind which can include image recognition, object detection, facial recognition, etc. And there are others beyond this.

      The AI we’re talking about here falls more under Computer Vision for AI which includes image recognition. In this case the machine learning model has been trained on massive amounts of images like MRIs or CT scans.