Resources: Page 469

Research weighs iPad clinical utility
By Erik L. Ridley
Monday, November 29 | 11:30 a.m.-11:40 a.m. | SSC08-07 | Room S402ABIn this scientific paper presentation, a study team from the University of Maryland in Baltimore will describe how the iPad fared when used to evaluate a screening chest x-ray for tuberculosis.
November 14, 2010
Smartphones may support mobile teleradiology
By Erik L. Ridley
Monday, November 29 | 11:20 a.m.-11:30 a.m. | SSC08-06 | Room S402ABAn Italian team will present promising results from using smartphones for mobile reading of CT and MR exams.
November 14, 2010
iPhone holds its own against PACS workstation in telestroke cases
By Erik L. Ridley
Monday, November 29 | 11:10 a.m.-11:20 p.m. | SSC07-05 | Room S102DA team from Massachusetts General Hospital in Boston matched up an iPhone app and a PACS workstation for providing preliminary diagnosis on stroke evaluation cases, in this study to be presented Monday morning.
November 14, 2010
Evaluating the iPad's role in radiology
By Erik L. Ridley
Monday, November 29 | 10:50 a.m.-11:00 a.m. | SSC08-03 | Room S402ABIn this scientific session, researchers from the University of Maryland in Baltimore will take a close look at the device generating significant buzz in the radiology community: Apple's iPad.
November 14, 2010
Ultrasound CAD aids in differential diagnosis of focal liver lesions
By Erik L. Ridley
Sunday, November 28 | 12:05 p.m.-12:15 p.m. | SSA21-09 | Room S504ABIn this scientific session, a team from Kumamoto University in Japan will present the benefits of computer-aided detection (CAD) in contrast-enhanced ultrasound of focal liver lesions.
November 14, 2010
CAD shows promise for evaluating prostate cancer aggressiveness
By Erik L. Ridley
Sunday, November 28 | 11:55 a.m.-12:05 p.m. | SSA10-08 | Room E353BResearchers from the University of Chicago will describe the potential for their prototype computer-aided detection (CAD) software in prostate MRI in this Sunday scientific session.
November 14, 2010
Algorithm can automatically detect abnormal lung volumes
By Erik L. Ridley
Sunday, November 28 | 11:45 a.m.-11:55 a.m. | SSA19-07 | Room S403BIn this paper presentation, researchers will provide details on a computerized method for identifying abnormal lung volumes from interstitial lung disease.
November 14, 2010
Automated 3D method may replace manual renal cortex segmentation
By Erik L. Ridley
Sunday, November 28 | 11:35 a.m.-11:45 a.m. | SSA09-06 | Room E351In this Sunday presentation, a research team from the U.S. National Institutes of Health (NIH) will share its success with an automated 3D renal cortex segmentation technique for abdominal CT images.
November 14, 2010
CAD may help detect pulmonary embolism
By Erik L. Ridley
Sunday, November 28 | 11:25 a.m.-11:35 a.m. | SSA19-05 | Room S403BA research team from the University of Michigan in Ann Arbor will share developments with its computer-aided detection (CAD) algorithm for detecting pulmonary embolism on CT pulmonary angiography.
November 14, 2010
CAD offers potential in detecting tuberculosis
By Erik L. Ridley
Sunday, November 28 | 11:15 a.m.-11:25 a.m. | SSA19-04 | Room S403BA Dutch research group will share promising initial results from using prototype computer-aided detection (CAD) software to identify tuberculosis on chest x-ray images in this Sunday morning session.
November 14, 2010
ASIR may bolster CAD performance in lung nodules
By Erik L. Ridley
Sunday, November 28 | 11:05 a.m.-11:15 a.m. | SSA19-03 | Room S403BIn this scientific session, a team from Osaka University Medical School in Japan will present data detailing the benefits of adaptive statistical iterative reconstruction (ASIR) technology for computer-aided detection (CAD) of lung nodules.
November 14, 2010
Inexperienced readers benefit most from CAD in CCTA
By Erik L. Ridley
Sunday, November 28 | 10:55 a.m.-11:05 a.m. | SSA19-02 | Room S403BResearchers from the Medical University of South Carolina in Charleston will discuss how reader experience affects the benefits of computer-aided detection (CAD) in coronary CT angiography (CCTA).
November 14, 2010
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