How Machine Learning Enhances Healthcare | Marzyeh Ghassemi | TEDxUofTSalon

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  • เผยแพร่เมื่อ 25 มิ.ย. 2024
  • Why aren't mistakes always a bad thing? And what does AI have to do with that? Find out as Marzyeh Ghassemi delves into how the machine learning revolution can be applied in a healthcare setting to improve patient care. Dr. Marzyeh Ghassemi is an assistant professor at the University of Toronto in Computer Science and Medicine, and a Vector Institute faculty member as well as a CAnada CIFAR Chair in Aritifical Intelligence. She was named on of MITs top 35 Innovators under 35 for her groundbreaking work in AI and hospital data. Her research group, Machine Learning for Health, focuses on creating and applying machine learning to understand and improve health. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at www.ted.com/tedx

ความคิดเห็น • 23

  • @mustafakemalpasha983
    @mustafakemalpasha983 3 ปีที่แล้ว +7

    Perfect speech! Good luck with the project, Marzyeh.

  • @wellbodisalone
    @wellbodisalone ปีที่แล้ว +2

    Informative talk. Technology can be useful if used correctly.

  • @popviz3316
    @popviz3316 3 ปีที่แล้ว +4

    Excellent talk, especially the part about testing models for bias.

  • @khanofcaledonia6413
    @khanofcaledonia6413 ปีที่แล้ว

    Great talk!

  • @ZAK-MK_SHOW
    @ZAK-MK_SHOW ปีที่แล้ว

    Brilliant Speech 💬 👏

  • @crescent.t
    @crescent.t 3 ปีที่แล้ว +3

    3:12 this.

  • @bhmarque
    @bhmarque 3 ปีที่แล้ว +2

    Love It

  • @EUGENEXUAN1994
    @EUGENEXUAN1994 3 ปีที่แล้ว +3

    I believe that the technology will really help advance the provision of medical care to the patient. But I hope this technology is really trying to reduce the burden of healthcare professional and provide efficient care to patients but is not intend to replace the job of medical professional with machine using the reason of burn out and bias. I believe that healthcare professional can be neutral and can be efficient in doing their job and macine can assist them to do better!

    • @HBJ5483
      @HBJ5483 3 ปีที่แล้ว +3

      The machine / technology will inevitably replace man in most cases when jobs are concerned, unfortunately. But, man will always be needed to fix the machine/ technology when it brakes down. I guess my 2 cents is, that man will get replaced in most cases, but man will still be needed to maintain...

    • @squamish4244
      @squamish4244 8 หลายเดือนก่อน

      Man + machine > machine alone.

  • @millertime6
    @millertime6 2 ปีที่แล้ว +2

    I wonder if it’s statistical or personal bias when my doctor’s office always suggests an std test because I’m “high risk”?

    • @johnathanparker2182
      @johnathanparker2182 2 ปีที่แล้ว +1

      Well, yes. Handsome men are definitely at risk

  • @ValentinVOISIN-Crypto
    @ValentinVOISIN-Crypto 3 ปีที่แล้ว +1

    Machine < Human !

    • @mental4508
      @mental4508 2 ปีที่แล้ว +3

      Please rewatch the video and review the segment discussing how machine learning can help us identify cognitive bias.

  • @hanskraut2018
    @hanskraut2018 ปีที่แล้ว

    Smart but obviously she has no funding and obviously it was not done so far since it would be too useful for once

  • @zabrak999
    @zabrak999 3 ปีที่แล้ว +6

    Islam suppresses women

    • @angrytedtalks
      @angrytedtalks 3 ปีที่แล้ว

      It frequently does.

    • @4waster
      @4waster 2 ปีที่แล้ว +7

      The woman speaking in the video renders your misguided comment invalid.

    • @aztradescrypto
      @aztradescrypto 2 ปีที่แล้ว

      you are clearly blind

    • @adnanemezrag3809
      @adnanemezrag3809 ปีที่แล้ว

      If the are feeling suppressed, then why people (women and men) are entering to the Islam day after day?
      Think deeply about my question.

    • @dreamerinc.8491
      @dreamerinc.8491 ปีที่แล้ว

      ​@@adnanemezrag3809 they are forced to do so