Rezultati pretraživanja
  1. 25. lip 2019.

    What do radiologists need to adapt to a future with AI? Insights by Bibb Allen Jr.

  2. 20. ožu 2019.

    My blog post for the Data Science Institute on what I consider the major barriers to integrating artificial intelligence methods into radiology practice.

  3. 19. lip 2019.

    Going beyond the hype. We need radiologists to help define use cases that are clinically effective @DrSoGu

  4. 19. lis 2019.

    ⁩ describes the overwhelming value of structured Radiology reports. Referring physicians want them. Patients deserve them. Standardization and Structure Report Requirements | American College of Radiology

  5. 25. lip 2019.

    . on of : Lessons from industry insiders - we have to get this right up front. Once ethical decisions are in the hands of money-makers, the money will win every time.

  6. 25. lip 2019.

    Tessa Cook discussing Data Sharing and Data Use Strategies in AI at the 2019 Data Science Summit

  7. 24. tra 2019.

    AiLab created by will help democratize by making algorithms development as easy as creation of power point slides - Keith Dreyer

  8. 24. tra 2019.

    Academia-industry partnerships can benefit both sides

  9. At & , Dr. Tessa Cook () of states that good data sharing leads to good which then leads to better patient care which is why good data is so valuable.

    Ovo je potencijalno osjetljiv multimedijski sadržaj. Saznajte više
  10. 31. sij 2019.
  11. 26. lip 2019.

    “Sharing local AI models from image data between institutions for fine tuning — while patient information remains securely on site — has not previously been done successfully in radiology at this scale.”

  12. 16. ruj 2019.

    "In a world of ever-increasing imaging volumes, patient-centered care, and complex care delivery systems, AI has the potential to elevate the way we practice to a transformative level." A great article on the potential of AI in radiology on the blog.

  13. Great rule of thumb for collecting data for research from Dr. Nina Kottler of below highlighted in red- Rads have duty to use data collected for common good.

    Ovo je potencijalno osjetljiv multimedijski sadržaj. Saznajte više
  14. This is why is so important - it creates the bridge mentions here

  15. 30. lis 2019.

    Thoughtful paper on AI algorithm explainability ⁩ ⁦⁩ ⁦⁩ [1706.07269] Explanation in Artificial Intelligence: Insights from the Social Sciences

  16. 4. pro 2019.
    Odgovor korisnicima i sljedećem broju korisnika:

    Thanks . SubtleMR software has been added to the list of cleared algorithms.

  17. 29. lip 2019.

    Had a great SIIM meeting! See you all next time, stay tuned for AI-Lab updates

  18. “The ACR DSI is asking members to submit a use case proposal for a problem that may be solvable by AI.”

  19. 28. lip 2019.
    Odgovor korisniku/ci

    Enjoy your time off! When you get back, I’d like to learn more about the “RAD AI academy” idea mentioned during the summit earlier this week. Thanks!

  20. 31. sij

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

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