How Machine Learning Enhances Healthcare | Marzyeh Ghassemi | TEDxUofTSalon

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  • Опубликовано: 14 янв 2025

Комментарии • 25

  • @mustafakemalpasha983
    @mustafakemalpasha983 3 года назад +8

    Perfect speech! Good luck with the project, Marzyeh.

  • @wellbodisalone
    @wellbodisalone 2 года назад +2

    Informative talk. Technology can be useful if used correctly.

  • @popviz3316
    @popviz3316 3 года назад +4

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

  • @ZAK-MK_SHOW
    @ZAK-MK_SHOW 2 года назад

    Brilliant Speech 💬 👏

  • @crescent.t
    @crescent.t 3 года назад +3

    3:12 this.

  • @khanofcaledonia6413
    @khanofcaledonia6413 2 года назад

    Great talk!

  • @EUGENEXUAN1994
    @EUGENEXUAN1994 3 года назад +4

    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 года назад +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 Год назад

      Man + machine > machine alone.

  • @Paul-e9x4h
    @Paul-e9x4h 2 месяца назад

    Tambah canggih

  • @millertime6
    @millertime6 2 года назад +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”?

  • @bhmarque
    @bhmarque 3 года назад +2

    Love It

  • @valentinvoisin11
    @valentinvoisin11 3 года назад +1

    Machine < Human !

    • @mental4508
      @mental4508 3 года назад +3

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

  • @GrandActionPotential
    @GrandActionPotential 5 месяцев назад

    This presentation is biased and misrepresents facts. This looks like a sales pitch reminiscent of Theranos.
    RCT cohorts are picked to eliminate diabetes, depression and hypertension, conditions that could interfere with the treatment under study. That is why most ppl with asthma would qualify for the RCT.
    The 10% reversal papers is a misrepresentation of the facts. The reversals are typically for studies cohorts in different countries, high income vs low income countries. Why would anyone thing a treatment in high income countries would work for populations in low income countries?
    Machine learning to read imaging. What happens when the ML reader encounter something it's not been train on such as lung flukes or ascaris ? A wrong diagnosis.
    Biased outcomes are related to patients. Metrics such as blood pressure, blood test results, imaging, ecg are objective results unrelated to assessment bias.

  • @hanskraut2018
    @hanskraut2018 Год назад

    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 года назад +6

    Islam suppresses women

    • @angrytedtalks
      @angrytedtalks 3 года назад

      It frequently does.

    • @4waster
      @4waster 2 года назад +7

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

    • @aztradescrypto
      @aztradescrypto 2 года назад

      you are clearly blind

    • @adnanemezrag3809
      @adnanemezrag3809 2 года назад

      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 Год назад

      ​@@adnanemezrag3809 they are forced to do so