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  1. prije 14 sati
  2. "While much of the theoretical basis for in the practice of is extremely exciting, the reality is that the field has not yet fully embraced it."

  3. Artificial Intelligence Is Not Ready For The Intricacies Of The ethical implications are hairy. But certain technologies ARE ready for widespread clinical usage. is actively delivering real value to patients worldwide.

  4. 4. velj

    There is significant value provided by a trained that software cannot replace-> physical state of the pt, current images/past images comparison, collaboration w/ other healthcare teams. They r central to the process

  5. 4. velj
  6. 4. velj

    " is one of the most essential fields in . Experts in this field are specialists in deciphering and diagnosing disease based on various imaging modalities, ranging from ultrasound, magnetic resonance imaging (MRI) [...]"

  7. 1. velj

    Stunning article in on coverup in early days of the coronavirus outbreak in China: “Officials told doctors at a top city hospital 'don’t use the words viral pneumonia on the image reports.'"

  8. 1. velj
  9. 1. velj

    featuring Curtis Langlotz and Mat@curtlanglotz MPH

  10. 31. sij

    Great article about the use of algorithms in the field of featuring SCI member Matthew Lungren and Director Curtis Langlotz.

  11. 31. sij
  12. 31. sij

    applying algorithms MRIs and X-Rays enhancing understanding of patterns...

  13. How can spotting more cancer be harmful? at explains that overdiagnosis could be exasperated by the use of in . Find out what improvements 's mammogram AI research needs by on .

  14. 27. sij

    "The core of the issue is that radiologists don’t just look at images, says . “It’s a complete misunderstanding of what radiologists do.”

  15. 24. sij

    Thanks to , the “voice” of an ancient priest has been heard for the first time since he died and was mummified 3,000 years ago. 🔺 🐫

  16. Israeli start-up is the leading provider of solutions for radiologists.

  17. 4. sij

    Peter Mansfield pioneer unseen images released including one showing him inside a cardboard MRI model He was the first to use a whole-body MRI scanner in 1978 to prove it was safe to use

  18. 20. pro 2019.

    Prostate Cancer Detection using Deep Convolutional 👉 Automated pipeline for detection of clinically significant for a given axial DWI image Link:

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