Enterprise Imaging: Page 144

Fuji reaches VNA milestone
By AuntMinnie.com staff writers
Fujifilm Medical Systems USA's TeraMedica division said that its Synapse vendor-neutral archive (VNA) is now being used to serve more than 1,000 facilities worldwide.
November 1, 2016
Client Outlook expands eUnity to mobile at Canadian site
By AuntMinnie.com staff writers
Image viewing software developer Client Outlook announced that a regional network for emergency image transfer in Ontario, Canada, has expanded its implementation of eUnity software to support mobile platforms.
November 1, 2016
Teleradiology Specialists touts record growth
By AuntMinnie.com staff writers
Teleradiology services provider Teleradiology Specialists said that its radiologists read 70% more imaging studies in October than they did in January 2015.
October 31, 2016
Road to RSNA 2016: Imaging Informatics Preview
By Erik L. Ridley
Welcome to the first installment of this year's Road to RSNA preview of the 2016 RSNA meeting in Chicago. For the eighth year in a row, we're providing a modality-by-modality overview of the most important scientific sessions to serve as your guide to events at McCormick Place. Our journey along the Road to RSNA begins with our preview of Imaging Informatics, and specifically PACS, deep learning, and teleradiology.
October 30, 2016
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PACS software tool boosts lesion measurement accuracy
By Erik L. Ridley
Thursday, December 1 | 11:40 a.m.-11:50 a.m. | SSQ10-08 | Room S403AIn this talk, researchers will share how a PACS-integrated software tool can help radiologists be more efficient and accurate in documenting lesion measurements.
October 30, 2016
Can display features improve DR interpretations?
By Erik L. Ridley
Wednesday, November 30 | 3:50 p.m.-4:00 p.m. | SSM12-06 | Room S403AIn this scientific presentation, an Italian group will show how higher spatial resolution and luminance levels on medical displays may be able to improve radiologist performance in reading digital radiography (DR) images.
October 30, 2016
PACS display features affect diagnostic performance
By Erik L. Ridley
Wednesday, November 30 | 3:20 p.m.-3:30 p.m. | SSM12-03 | Room S403AItalian researchers will report in this session on the display characteristics and settings that most affect the identification of cerebral infarction on brain CT exams.
October 30, 2016
Deep learning could help uncover disease biomarkers
By Erik L. Ridley
Wednesday, November 30 | 12:45 p.m.-1:15 p.m. | IN247-SD-WEB2 | Lakeside, IN Community, Station 2This poster presentation will illustrate the potential of deep-learning methods for finding imaging biomarkers in relatively uncommon diseases, such as nasopharyngeal cancer.
October 30, 2016
Deep learning can label partially annotated images
By Erik L. Ridley
Wednesday, November 30 | 12:15 p.m.-12:45 p.m. | IN242-SD-WEA3 | Lakeside, IN Community, Station 3In this poster presentation, a study team will show how deep-learning techniques can be used to fully segment and label disease regions on images that have only been partially annotated.
October 30, 2016
Deep learning can segment, measure lymph node clusters
By Erik L. Ridley
Wednesday, November 30 | 10:30 a.m.-10:40 a.m. | SSK17-01 | Room S404ABIn this scientific session, researchers will reveal how an automated method based on deep learning shows promise for segmenting and measuring the volume of lymph node clusters.
October 30, 2016
Analytics helps spot risk for missed appointments
By Erik L. Ridley
Tuesday, November 29 | 3:30 p.m.-3:40 p.m. | SSJ13-04 | Room S402ABIn this session, researchers will describe how predictive analytics can help identify patients who may be at higher risk for missing their radiology appointment.
October 30, 2016
Deep learning may help spot interstitial lung disease
By Erik L. Ridley
Tuesday, November 29 | 12:45 p.m.-1:15 p.m. | IN235-SD-TUB3 | Lakeside, IN Community, Station 3This poster presentation will describe how deep learning may offer assistance in the challenging task of identifying interstitial lung disease.
October 30, 2016
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