Forscher haben eine kontaktlose Methode entwickelt, die eine Kombination aus Herzfrequenzdaten und Gesichtsausdrücken von Patienten analysiert, um den Schmerz einzuschätzen, den sie empfinden

https://spectrum.ieee.org/machine-learning-measure-pain-surgery

9 Kommentare

  1. neatyouth44 on

    Cool, so everyone who’s had DBT for “anxiety” will be at a disadvantage, bearing weight under cognitive and sensory load vs those who are completely dysregulated, even though the objective pain felt is equal.

    Tell me more ableism, please…

    (I work in study design, this is feed forward cognitive bias based on behaviorism weighting vs internal subjective experience. Completely trauma unaware and against best practices/SOC).

    It’s systemic “mind reading” instead of using a clear, defined, shared lexicon between clinician and patient. This is CYA, not SOC.

  2. This would completely fail on patients with chronic pain though. I could look completely normal despite feeling like I was dying inside….

  3. Yeah, this is going to get things so wrong. I know lots of stoic people who barely show anything despite being in great pain. I suspect this study is highly regional.

  4. 51CKS4DW0RLD on

    Leave it to science to build a machine for this rather than like, talk to the goddamn patient

  5. molasses_disaster on

    Another way for neurodivergent people to face medical discrimination, that’s fun.

  6. seawitchbitch on

    So women trained to smile through their pain by awful menstrual periods every month will also continue to have our pain minimized.

  7. I see your arm is broken, but the Painorometer(TM) say’s you’re only showing „mild signs of discomfort“ so we will not be administering any morphine. I’m happy to offer you some acetaminophen, if your insurance will cover it.

    Thank you, and be well!

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