Rezultati pretraživanja
  1. 23. sij

    has published a library of use cases on artificial intelligence (AI) in healthcare that detail how healthcare providers are embedding AI technology to help optimize workflows.

    4 proslijeđena tweeta 2 korisnika označavaju da im se sviđa
  2. prije 53 minute

    How can help manage treatment options for stroke patients? via

  3. prije 8 sati

    A group of senior Italian authors have addressed the question of the ethical use of AI in , and produced a blueprint for avoiding potential problems.

  4. prije 11 sati

    “The next decade will determine if humans or machines are better are making a medical diagnosis as more health care companies turn to for accuracy.”

    1 reply 2 proslijeđena tweeta 4 korisnika označavaju da im se sviđa
  5. prije 18 sati

    New analysis in suggests that deep learning-based natural language processing is a growing trend that shows no signs of slowing down via

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  6. prije 19 sati

    Researchers find that showed substantial agreement with for providing BI-RADS categorization via

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  7. 3. velj

    How can help identify patient risk of osteoporotic fractures? via

  8. 2. velj

    “Digitalization collaborate knowledge motivation.” “Visualization generate pledge activation.”

  9. 1. velj

    Miss the live webinar in Oct? 🤔 No worries! 👌 Access the on-demand webinar & catch up on the secrets to successful evaluation and deployment of 👇

    1 korisnik označava da mu se sviđa
  10. 1. velj

    A new analysis in suggests that could provide imaging specialists with the perfect solution for how to limit patient exposure to ionizing radiation while still getting high-quality images via

    7 proslijeđenih tweetova 13 korisnika označava da im se sviđa
  11. 1. velj

    How may be able to help stroke patients in the future... via

    1 reply 3 proslijeđena tweeta 17 korisnika označava da im se sviđa
  12. 31. sij

    AI, radiation dose and the ‘Holy Grail’ of high-quality imaging results "Researchers must be careful; moving forward with these techniques without the proper validation would be a significant mistake."

    1 proslijeđeni tweet
  13. 31. sij

    Will you contribute to in ? 🙋 Submit your use case idea to today 👉 👈

    1 reply 5 proslijeđenih tweetova 5 korisnika označava da im se sviđa
  14. 31. sij

    A new survey on AI use in imaging focuses on adoption rates, primary areas of use and greatest challenges associated with implementing via

    4 proslijeđena tweeta 4 korisnika označavaju da im se sviđa
  15. 29. sij

    New research explores how AI and deep learning tools can improve multiple aspects of radiation therapy via

  16. 29. sij

    The biggest hurdles for imaging providers hoping to implement High costs (required financial commitment) > lack of strategic direction > lack of technical expertise

    1 proslijeđeni tweet 5 korisnika označava da im se sviđa
  17. 29. sij

    Deep learning models can read images in milliseconds to detect parasites that cause diseases in blood sample images. Learn more about how a new algorithm helps identify malaria-inducing parasites. 🔬via

  18. 29. sij

    “Innovative solutions for continuous AI/ML education for trainee radiologists are needed. We describe one such initiative led by radiology residents in collaboration with the .”

    7 proslijeđenih tweetova 17 korisnika označava da im se sviđa
  19. 28. sij

    DYK you can access this webinar on-demand? 💻 Tune in & learn the secrets to success in evaluating and deploying . 🎧 👇

    2 korisnika označavaju da im se sviđa
  20. 28. sij
    Odgovor korisnicima i sljedećem broju korisnika:

    I don’t think it’ll be overall job losses. Rather, some orgs/departments/practices are better equipped to deploy than others, and it’s those that will more likely succeed. I do sense this technology favors larger practices and large AMCs. Expect add’l consolidation.

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