RSNA 2007

Nov 23, 2007

The skyline in downtown Chicago, host city to RSNA 2007.

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Mammography AI approach finds more breast cancers, reduces workload
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An AI approach that excludes low-risk mammograms from radiologist reading led to more cancers being found.
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The study finding is surprising -- and merits further research.
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A troubling pattern has emerged: resistance to safety measures doesn’t come from patients but from within the field.
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Radiation exposure low during TARE procedures
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Photographs show an example of a Y-90 resin microsphere transarterial radioembolization (TARE) procedure using the generation 2 system. (A) Manual portioning by radiopharmacists of therapeutic radioactivity on a laminar flow bench meeting International Organization for Standardization class 5 cleanroom standards and equipped with lead shielding. (B) Single components of the application box. (C) Assembling by the medical physics expert of application box components and vials according to respective manuals. (D) Application box in angiography intervention room with application lines connected to the microcatheter while the nuclear medicine physician administers the microspheres. (E) Storage of empty vials and waste in an acrylic glass bin by the nuclear medicine physician. (F) Measurement of dose rates on the patient’s liver surface immediately after TARE.
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Tracking disease distribution and dichotomous features on CT helps identify fibrotic interstitial lung disease (ILD) patterns.
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Privacy concerns with healthcare foundation models (FMs) can be mitigated through safeguards embedded into FM design.
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Many websites use college-level language to explain AI in mammography
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Online information about AI in mammography is written at a college level, which may be challenging for women to understand.
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AI model improves detection of brain metastases on MRI
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An AI brain metastasis detection model improves both the speed and the accuracy of identifying brain metastases on MRI scans.
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