RSNA 2006

Nov 26, 2006

An interactive panorama of McCormick Place during RSNA 2006.

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Jason Funderburk, MD (right), shares his thoughts on image sharing, AI, and what emerging technologies will bring in the near future in a fireside chat with incoming SIIM board chair Alex Towbin, MD (left).
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Jason Funderburk, MD, from ONC delivered a fireside chat at SIIM outlining the state of AI in medical imaging today.
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Jason Funderburk, MD (right), shares his thoughts on image sharing, AI, and what emerging technologies will bring in the near future in a fireside chat with incoming SIIM board chair Alex Towbin, MD (left).
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A majority of men with equivocal findings on MRI are found on biopsy to have either no cancer or clinically insignificant disease.
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Patient-facing access links could help lessen manual release of information workloads for radiologists and be Cures Act-compliant.
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SIIM: Interactive multimedia reporting has benefits for radiologists
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Survey findings show that most radiologists like using interactive multimedia reporting.
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SIIM leaders reflect on rapid growth of AI in imaging
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Leaders for SIIM shared their thoughts on AI's growth in radiology, including challenges and future opportunities.
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Experts propose new MRI standards for prostate cancer screening
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The guidance is intended to provide consensus on the acquisition, interpretation, and reporting of prostate MRI.
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Early FAPI-PET scans match 60-minute scans for lung cancer staging
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By convention, most molecular imaging tracers such as F-18 FDG are injected one hour prior to PET scans to allow time for uptake of the tracer by tumors.
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AI gives a boost to cardiac MRI risk prediction
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Accurate risk prediction for coronary heart disease helps clinicians guide patient therapy and follow-up.
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C-index for Cox regression and random survival forests models using two feature sets. Adding historical registry data decreases the C-index for Cox regression but increased it for the random survival forests model, consistent with the non-linear structure in the registry data.
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2026 report takes AI beyond potential.
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MSK AI tool for ultrasound shows promise for assisting novice imagers
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The software evaluated for standard plane recognition and automatic key anatomy segmentation.
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AI-acquired standardized planes. Example ultrasound images acquired in clinical settings with the on-cart, AI-based software, illustrating automated acquisition and anatomic annotation of three standard planes: (A) S5 dorsal longitudinal plane of the wrist joint, (B) S11 transverse section of the proximal carpal tunnel, and (C) S14 transverse section of the second and third flexor tendons. A1 = trochlea A1, Cap = capitate, C-M.JS = recess of the capitate-metacarpal joint, D&Ss = flexor digitorum profundus and superficialis tendons, FCR = flexor carpi radialis tendon, FD = flexor digitorum tendon, FPL = flexor pollicis longus tendon, L-C.JS = recess of the lunate-capitate joint, Lun = lunate, MN = median nerve, Pis = pisiform, Rad = radius, R-C.JS = recess of the radiocarpal joint, Sca = scaphoid, UA = ulnar artery, UN = ulnar nerve, 3rd Met = third metacarpal.
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